Thai Amulet Recognition Using Simple Feature
|
|
- Cori Owen
- 5 years ago
- Views:
Transcription
1 Thai Amulet Recognition Using Simple Feature Thanachai Sauthananusuk, Chalie Charoenlarpnopparut and Toshiaki Kondo School of Information, Computer and Communication Technology Sirindhorn International Institute of Technology Thammasat University, Thailand Pished Bunnun National Electronics and Computer Technology Center National Science and Technology Development Agency, Thailand Kaneko Hirohiko Department of Information Processing Tokyo Institute of Technology 4259 Nagatsuta, Midori-ku, Yokohama 227 Japan. Abstract Thai amulet is accessory with Buddha shape and named after local Buddhism priest in Thailand. There are many kinds and variations which are difficult to distinguish. This paper demonstrates a way to determine the kind of amulet from taken picture. The identification process includes pre-processing such as grayscale conversion, filtering, Prewitt edge detection, cropping and resizing then apply the proposed method to get image similarity value, at last the template with highest similarity value is identified as the recognition result. The experiment shows that this method can identify 36 out of 53 amulet kinds and correct recognition rate is 60.6% accuracy (339 of 559 images). Keywords Amulet Recognition, Image Similarity, Image Processing I. INTRODUCTION There are many clubs in Thailand those who trade Thai amulet fluently, people there can tell what kind of amulet they are dealing with just a glance because they know each amulet characteristic which require long time study to master all of them. For those who did not familiar with any Thai amulet club and don t have prior knowledge about it. Just looking at the unknown one will not tell them what kind of amulet it is. Some kinds have word carved on the shape but for the rest those there are not any word in the shape, all information is what they see. This paper aim to provide system to identified the kind of unknown amulet from taken picture. from edge pixel as recognition feature. Seth McNeill use vector quantization [3] of edge feature image and k-means algorithm to train machine learning system for classification Marco Reisert [4], [5] use Hough transform to segment coin image, then shift coin center to origin position, scaling image so that coin radius is equal to 1 and use gradient image and fast Fourier transform to generate feature. In 2010, Chomtip Pornpanomchai [6] work with actual amulet, not another class of coin like all the works mentioned before. The system use correlation value to determine the recognition result. The correlation value is computed from the difference of grayscale value of all pixels between two images. The images in this work were taken in controlled environment (black box and spotlight). III. PROPOSED METHOD The overview of the system is described by Figure 1; begin with retrieval of input image, doing some preprocessing to segment the amulet and normalization all amulet magnitude to same scale for easiness in similarity comparison. The recognition process present result with highest similarity value. II. RELATED WORK Since Thai amulet is not well known outside Thailand, almost of the similar work in the past is coin recognition. Minoru Fukumi use rotated image for neural network training to create rotation invariant coin pattern recognition system [1] and applied the system with 500 Japanese yen coin and a 500 Korean won coin. Michael Nolle propose Dagobert system [2] that can recognize 39 classes of coin and can reject unknown class which is not recognized. The system use binary string created Fig. 1: System Overview
2 A. Image Retrieval For data acquisition, the condition is amulet must be placed on the plain color background. In this work we place amulets on pink color paper when collect data. Some of sample data is shown in Figure 2. (a) RGB image (b) Grayscale image Fig. 2: Sample Data Fig. 3: Grayscale conversion The collected data is resized to 540 pixel width and 720 pixel height before using them in the following step. B. Image Preprocessing The objective of this step is to segment amulet and normalization its magnitude. Here are the processes to be used. 1) Grayscale Conversion: The system uses common formula to convert RGB color image to grayscale image. Grayscale = R G B (1) (a) Grayscale image When R is red color intensity in RGB image. G is green color intensity in RGB image. B is blue color intensity in RGB image. The result of grayscale conversion is shown in Figure 3. 2) Edge Detection: The system applies Prewitt edge detection to grayscale image from previous step. The binary image with only edge pixels remain is shown in Figure 4. 3) Noise Filtering: As seen in Figure 4. There are noisy white pixels which interfere with finding topmost, lowermost, leftmost, rightmost position of the amulet. The system uses two separate filters to get rid of noisy pixels and get accurate topmost, lowermost, leftmost, rightmost position of the amulet. (b) Prewitt edge image Fig. 4: Prewitt edge operator
3 When the 2-D linear FIR filter whose impulse response is is applied to the image to find horizontal line for getting topmost and lowermost position of the amulet; and the 2-D linear FIR filter whose impulse response is (a) Prewitt edge image is applied to the image to find vertical line for getting leftmost and rightmost position of the amulet. To pass the filter, there must be at least 5 non-zero(white pixel) pixels of 7 pixels in a row. This process can eliminate noise efficiently. The horizontal line filtered image and vertical line filtered image are shown in Figure 5. 4) Crop and Resize: After get topmost, lowermost, leftmost, rightmost position of the amulet from previous step. The image is cropped and resized to 540 pixel width and 720 pixel height like shown in Figure 6 to normalize all image to same size before compute similarity. (b) After apply vertical line filter C. Compute Image Similarity The similarity is computed from logical comparison of binary image. The formula is shown below. When X720 X540 S = (A i,j B i,j ) (2) i=0 j=0 S is similarity value of two images A and B. A i,j is grayscale value of binary image A at row i and column j B i,j is grayscale value of binary image B at row i and column j (c) After apply horizontal line filter The system determines template with highest similarity comparing with input image to be recognition result. Fig. 5: Filter for finding topmost, lowermost, leftmost, rightmost position of the amulet
4 VI. FUTURE WORK There are some limitations in this work. First is rotation variance; even slight rotation of amulet placement in the picture can create ambiguity in determination. The other limitation is that this method cannot distinguish some amulets which are very similar in shape and color i.e. amulets in same series but different edition. In the future, color information from RGB image will be used to improve the accuracy furthermore. (a) Prewitt edge image (b) Cropped and resized image ACKNOWLEDGMENT This research is financially supported by Thailand Advanced Institute of Science and Technology (TAIST), National Science and Technology Development Agency (NSTDA), Tokyo Institute of Technology and Sirindhorn International Institute of Techcnology (SIIT), Thammasat University (TU) and National Research University Project, Thailand Office of Higher Education Commission. REFERENCES [1] Minoru Fukumi, Sigeru Omatu, Fumiaki Takeda and Toshihisa Kosaka, Rotation-Invariant Neural Pattern Recognition System with Application to Coin Recognition, The IEEE transaction on Neural Networks, Vol. 3, pp , March 1992 [2] Michael Nolle, Harald Penz, Michael Rubik, Konrad Mayer, Igor Hollander, Reinhard Granec, Dagobert A New Coin Recognition and Sorting System, Proceedings of the 7th Internation Conference on Digital Image Computing - Techniques and Applications (DICTA03), Syndney, Australia [3] Seth McNeill, Joel Schipper, Taja Sellers, Michael C. Nechyba, Coin Recognition using Vector Quantization and Histogram Modeling, 2004 Florida Conference on Recent Advances in Robotics (FCRAR) [4] Marco Reisert, Olaf Ronneberger, Hans Burkhardt, An Efficient Gradient based Registration Technique for Coin Recognition, Proceedings of the Muscle CIS Coin Competition Workshop, pages 1931, [5] Marco Reisert, Olaf Ronneberger, and Hans Burkhardt, A Fast and Reliable Coin Recognition System, Springer Pattern Recognition, vol. 4713, pp , [6] Pornpanomchai, C., Wongkorsub, J., Pornaudomdaj, T., Vessawasdi, P., Buddhist Amulet Recognition System (BARS), Computer and Network Technology (ICCNT), Second International Conference on, pp , Fig. 6: Image normalization IV. EXPERIMENT The experiment was conducted with 53 template images of 53 different kinds of amulet and 559 images for testing. The experiment result is shown in Table I. There are 36 kinds which proposed method can identified with more than 50 percent accuracy. V. CONCLUSION This work demonstrates a way to use simple feature like edge pixel to help in Thai amulet recognition. The proposed method in this work provides correct result more than half of all experiment (67.92 percent by number of corrected identified kind and percent by number of correct identified image).
5 TABLE I: The experiment result No. Amulet Name Correct Incorrect Accuracy(%) 1 Luang Poo Glin Luang Por Thongyu Luang Por Noi Luang Poo Pew Luang Por Kaew 2 nd edition Luang Poo Van 1 st edition Rian Phra Put Luang Por Huad Luang Por Sothorn Ajarn Phun 9 th edition Alpaca type Ajarn Phun last edition Ajarn Phun 9 th edition Pha Bart type Ajarn Phun 43th edition Ajarn Phun 7 th edition Ajarn Phun 6 th edition Luang Por Sye 80 years Luang Poo Sarm 3 rd edition Luang Poo Bun Luang Por Kong Luang Por Chang Riding Hanuman Luang Por Chuen Luang Por Ngern Chinnarad Indochin Phra Ajarn Pimmalai Chao Khun Noraruk Ajarn Phun 3 rd edition Phra Gru Wud ChanaSongkram Rian Chareon Pond Lang Luang Por Sud Luang Por Noang Rian Lhor Wud RakungLungkorn Luang Poo Peuak Luang Por Parn Pim Menmungkorn Luang Por Parn Pim Kheeplamor Luang Por Parn Pim Hanuman Yai Luang Poo Chan Luang Por Mano Phra Kring Paireepinad Bualiam Luang Poo Perm Khaotum shape Luang Poo Top Tharntia shape Luang Por Derm 1 st edition Luang Por Derm 3 rd edition Luang Por Derm 2 nd edition Luang Poo Tuad Pim Taoread Luang Poo Glin 1 st edition Pidta Luang Poo Kaew 1 st edition Luang Por Mui 1 st edition Luang Poo Rian 1 st edition Luang Poo Iam 1 st edition Phra Chaiwat Luan Poo Bun Pim Chalood Phra Kring Phra Chaiwat Luan Poo Bun Pim Pomlek Luang Por In 1 st edition Total
Image Processing Based Systems and Techniques for the Recognition of Ancient and Modern Coins
Image Processing Based Systems and Techniques for the Recognition of Ancient and Modern Coins Shatrughan Modi Frontier Research Group, Samsung India Software Operations, Bangalore- 560093, India Seema
More informationIndian Coin Matching and Counting Using Edge Detection Technique
Indian Coin Matching and Counting Using Edge Detection Technique Malatesh M 1*, Prof B.N Veerappa 2, Anitha G 3 PG Scholar, Department of CS & E, UBDTCE, VTU, Davangere, Karnataka, India¹ * Associate Professor,
More informationCoin Images Seibersdorf - Benchmark
Coin Images Seibersdorf - Benchmark Michael Nölle 1, Björn Jonsson 2, Michael Rubik 2 ARC Seibersdorf research GmbH 1 Safety & Security, 2 High Performance Image Processing A-2444 Seibersdorf michael.noelle@arcs.ac.at
More informationReliable Classification of Partially Occluded Coins
Reliable Classification of Partially Occluded Coins e-mail: L.J.P. van der Maaten P.J. Boon MICC, Universiteit Maastricht P.O. Box 616, 6200 MD Maastricht, The Netherlands telephone: (+31)43-3883901 fax:
More informationInternational Journal for Research in Applied Science & Engineering Technology (IJRASET) Coin Recognition and Classification: A Review
Coin Recognition and Classification: A Review Prajakta Waghulde 1, Dr. A. M. Patil 2 1 Master Student, 2 Prof. and HOD, EXT Department J.T.Mahajan, College of Engineering,Faizpur Abstract: Coins are a
More informationBiometrics Final Project Report
Andres Uribe au2158 Introduction Biometrics Final Project Report Coin Counter The main objective for the project was to build a program that could count the coins money value in a picture. The work was
More informationImage Segmentation of Historical Handwriting from Palm Leaf Manuscripts
Image Segmentation of Historical Handwriting from Palm Leaf Manuscripts Olarik Surinta and Rapeeporn Chamchong Department of Management Information Systems and Computer Science Faculty of Informatics,
More informationCOMPARATIVE PERFORMANCE ANALYSIS OF HAND GESTURE RECOGNITION TECHNIQUES
International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 9, Issue 3, May - June 2018, pp. 177 185, Article ID: IJARET_09_03_023 Available online at http://www.iaeme.com/ijaret/issues.asp?jtype=ijaret&vtype=9&itype=3
More informationDESIGN AND VERIFICATION OF NEWTON RAPSON REGRESSION (NRR) BASED IMAGE INTERPOLATION METHODS
DESIGN AND VERIFICATION OF NEWTON RAPSON REGRESSION (NRR) BASED IMAGE INTERPOLATION METHODS 1 Shubhra Pal, 2 Neeta Nathani 1 MTech Scholar, 2 Assistant Professor 1,2 GGCT, Jabalpur Abstract: The proposed
More informationA Review of Optical Character Recognition System for Recognition of Printed Text
IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 3, Ver. II (May Jun. 2015), PP 28-33 www.iosrjournals.org A Review of Optical Character Recognition
More informationKeywords coin, feature extraction, neural network, recognition.
Volume 4, Issue 1, January 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Sample Coin
More informationINDIAN VEHICLE LICENSE PLATE EXTRACTION AND SEGMENTATION
International Journal of Computer Science and Communication Vol. 2, No. 2, July-December 2011, pp. 593-599 INDIAN VEHICLE LICENSE PLATE EXTRACTION AND SEGMENTATION Chetan Sharma 1 and Amandeep Kaur 2 1
More informationAutomatic Electricity Meter Reading Based on Image Processing
Automatic Electricity Meter Reading Based on Image Processing Lamiaa A. Elrefaei *,+,1, Asrar Bajaber *,2, Sumayyah Natheir *,3, Nada AbuSanab *,4, Marwa Bazi *,5 * Computer Science Department Faculty
More informationVEHICLE LICENSE PLATE DETECTION ALGORITHM BASED ON STATISTICAL CHARACTERISTICS IN HSI COLOR MODEL
VEHICLE LICENSE PLATE DETECTION ALGORITHM BASED ON STATISTICAL CHARACTERISTICS IN HSI COLOR MODEL Instructor : Dr. K. R. Rao Presented by: Prasanna Venkatesh Palani (1000660520) prasannaven.palani@mavs.uta.edu
More informationCHARACTERS RECONGNIZATION OF AUTOMOBILE LICENSE PLATES ON THE DIGITAL IMAGE Rajasekhar Junjunuri* 1, Sandeep Kotta 1
ISSN 2277-2685 IJESR/May 2015/ Vol-5/Issue-5/302-309 Rajasekhar Junjunuri et. al./ International Journal of Engineering & Science Research CHARACTERS RECONGNIZATION OF AUTOMOBILE LICENSE PLATES ON THE
More informationKeyword: Morphological operation, template matching, license plate localization, character recognition.
Volume 4, Issue 11, November 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Automatic
More informationSegmentation Plate and Number Vehicle using Integral Projection
Segmentation Plate and Number Vehicle using Integral Projection Mochamad Mobed Bachtiar 1, Sigit Wasista 2, Mukhammad Syarifudin Hidayatulloh 3 1,2,3 Program Studi D4 Teknik Komputer Departemen Informatika
More informationIJSRD - International Journal for Scientific Research & Development Vol. 4, Issue 05, 2016 ISSN (online):
IJSRD - International Journal for Scientific Research & Development Vol. 4, Issue 05, 2016 ISSN (online): 2321-0613 Automatic Number Plate Recognition System for Vehicle Identification Using Improved Segmentation
More informationMalaysian Car Number Plate Detection System Based on Template Matching and Colour Information
Malaysian Car Number Plate Detection System Based on Template Matching and Colour Information Mohd Firdaus Zakaria, Shahrel A. Suandi Intelligent Biometric Group, School of Electrical and Electronics Engineering,
More informationScrabble Board Automatic Detector for Third Party Applications
Scrabble Board Automatic Detector for Third Party Applications David Hirschberg Computer Science Department University of California, Irvine hirschbd@uci.edu Abstract Abstract Scrabble is a well-known
More informationA Novel Morphological Method for Detection and Recognition of Vehicle License Plates
American Journal of Applied Sciences 6 (12): 2066-2070, 2009 ISSN 1546-9239 2009 Science Publications A Novel Morphological Method for Detection and Recognition of Vehicle License Plates 1 S.H. Mohades
More informationSmart License Plate Recognition Using Optical Character Recognition Based on the Multicopter
Smart License Plate Recognition Using Optical Character Recognition Based on the Multicopter Sanjaa Bold Department of Computer Hardware and Networking. University of the humanities Ulaanbaatar, Mongolia
More informationSeparation of Noise and Signals by Independent Component Analysis
ADVCOMP : The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences Separation of Noise and Signals by Independent Component Analysis Sigeru Omatu, Masao Fujimura,
More informationAn Approach to Korean License Plate Recognition Based on Vertical Edge Matching
An Approach to Korean License Plate Recognition Based on Vertical Edge Matching Mei Yu and Yong Deak Kim Ajou University Suwon, 442-749, Korea Abstract License plate recognition (LPR) has many applications
More informationA new seal verification for Chinese color seal
Edith Cowan University Research Online ECU Publications 2011 2011 A new seal verification for Chinese color seal Zhihu Huang Jinsong Leng Edith Cowan University 10.4028/www.scientific.net/AMM.58-60.2558
More informationFPGA based Real-time Automatic Number Plate Recognition System for Modern License Plates in Sri Lanka
RESEARCH ARTICLE OPEN ACCESS FPGA based Real-time Automatic Number Plate Recognition System for Modern License Plates in Sri Lanka Swapna Premasiri 1, Lahiru Wijesinghe 1, Randika Perera 1 1. Department
More informationPreprocessing and Segregating Offline Gujarati Handwritten Datasheet for Character Recognition
Preprocessing and Segregating Offline Gujarati Handwritten Datasheet for Character Recognition Hetal R. Thaker Atmiya Institute of Technology & science, Kalawad Road, Rajkot Gujarat, India C. K. Kumbharana,
More informationPRACTICAL IMAGE AND VIDEO PROCESSING USING MATLAB
PRACTICAL IMAGE AND VIDEO PROCESSING USING MATLAB OGE MARQUES Florida Atlantic University *IEEE IEEE PRESS WWILEY A JOHN WILEY & SONS, INC., PUBLICATION CONTENTS LIST OF FIGURES LIST OF TABLES FOREWORD
More informationProject #3 Seam Carving
15-463 Project #3 Seam Carving Caroline Hermans For this project, I implemented a Seam Carving algorithm that reduces the size of images without losing important details. Rather than scaling the image,
More informationAn Evaluation of Automatic License Plate Recognition Vikas Kotagyale, Prof.S.D.Joshi
An Evaluation of Automatic License Plate Recognition Vikas Kotagyale, Prof.S.D.Joshi Department of E&TC Engineering,PVPIT,Bavdhan,Pune ABSTRACT: In the last decades vehicle license plate recognition systems
More informationA Saturation-based Image Fusion Method for Static Scenes
2015 6th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES) A Saturation-based Image Fusion Method for Static Scenes Geley Peljor and Toshiaki Kondo Sirindhorn
More informationUrban Feature Classification Technique from RGB Data using Sequential Methods
Urban Feature Classification Technique from RGB Data using Sequential Methods Hassan Elhifnawy Civil Engineering Department Military Technical College Cairo, Egypt Abstract- This research produces a fully
More informationInternational Journal of Advance Engineering and Research Development
Scientific Journal of Impact Factor (SJIF): 4.72 International Journal of Advance Engineering and Research Development Volume 4, Issue 10, October -2017 e-issn (O): 2348-4470 p-issn (P): 2348-6406 REVIEW
More informationVehicle License Plate Recognition System Using LoG Operator for Edge Detection and Radon Transform for Slant Correction
Vehicle License Plate Recognition System Using LoG Operator for Edge Detection and Radon Transform for Slant Correction Jaya Gupta, Prof. Supriya Agrawal Computer Engineering Department, SVKM s NMIMS University
More informationProposed Method for Off-line Signature Recognition and Verification using Neural Network
e-issn: 2349-9745 p-issn: 2393-8161 Scientific Journal Impact Factor (SJIF): 1.711 International Journal of Modern Trends in Engineering and Research www.ijmter.com Proposed Method for Off-line Signature
More informationIris Recognition-based Security System with Canny Filter
Canny Filter Dr. Computer Engineering Department, University of Technology, Baghdad-Iraq E-mail: hjhh2007@yahoo.com Received: 8/9/2014 Accepted: 21/1/2015 Abstract Image identification plays a great role
More informationRecognition System for Pakistani Paper Currency
World Applied Sciences Journal 28 (12): 2069-2075, 2013 ISSN 1818-4952 IDOSI Publications, 2013 DOI: 10.5829/idosi.wasj.2013.28.12.300 Recognition System for Pakistani Paper Currency 1 2 Ahmed Ali and
More informationReal Time ALPR for Vehicle Identification Using Neural Network
_ Real Time ALPR for Vehicle Identification Using Neural Network Anushree Deshmukh M.E Student Terna Engineering College,Navi Mumbai Email: anushree_deshmukh@yahoo.co.in Abstract With the rapid growth
More informationIris Recognition using Histogram Analysis
Iris Recognition using Histogram Analysis Robert W. Ives, Anthony J. Guidry and Delores M. Etter Electrical Engineering Department, U.S. Naval Academy Annapolis, MD 21402-5025 Abstract- Iris recognition
More informationDevelop an Efficient Algorithm to Recognize, Separate and Count Indian Coin From Image using MATLAB
Develop an Efficient Algorithm to Recognize, Separate and Count Indian Coin From Image using MATLAB Rathod Prahaladsinh Kanubha 1, Y.J.Parmar 2 Student, Dept. of E.C., CCET, C.U. Shah University, Wadhwan,
More informationA Novel Algorithm for Hand Vein Recognition Based on Wavelet Decomposition and Mean Absolute Deviation
Sensors & Transducers, Vol. 6, Issue 2, December 203, pp. 53-58 Sensors & Transducers 203 by IFSA http://www.sensorsportal.com A Novel Algorithm for Hand Vein Recognition Based on Wavelet Decomposition
More informationObject Recognition System using Template Matching Based on Signature and Principal Component Analysis
Object Recognition System using Template Matching Based on Signature and Principal Component Analysis Inad A. Aljarrah Jordan University of Science & Technology, Irbid, Jordan inad@just.edu.jo Ahmed S.
More informationAn Indian Coin Recognition System Using Artificial Neural Networks Loveneet Kaur*, Rekha Bhatia **
An Indian Coin Recognition System Using Artificial Neural Networks Loveneet Kaur*, Rekha Bhatia ** * Department of Computer Science and Engineering, Punjabi University Regional Centre for Information Technology
More informationTraffic Sign Recognition Senior Project Final Report
Traffic Sign Recognition Senior Project Final Report Jacob Carlson and Sean St. Onge Advisor: Dr. Thomas L. Stewart Bradley University May 12th, 2008 Abstract - Image processing has a wide range of real-world
More informationWeed Detection over Between-Row of Sugarcane Fields Using Machine Vision with Shadow Robustness Technique for Variable Rate Herbicide Applicator
Energy Research Journal 1 (2): 141-145, 2010 ISSN 1949-0151 2010 Science Publications Weed Detection over Between-Row of Sugarcane Fields Using Machine Vision with Shadow Robustness Technique for Variable
More informationAn Image Processing Method to Convert RGB Image into Binary
Indonesian Journal of Electrical Engineering and Computer Science Vol. 3, No. 2, August 2016, pp. 377 ~ 382 DOI: 10.11591/ijeecs.v3.i2.pp377-382 377 An Image Processing Method to Convert RGB Image into
More informationPaper Sobel Operated Edge Detection Scheme using Image Processing for Detection of Metal Cracks
I J C T A, 9(37) 2016, pp. 503-509 International Science Press Paper Sobel Operated Edge Detection Scheme using Image Processing for Detection of Metal Cracks Saroj kumar Sagar * and X. Joan of Arc **
More informationAN EFFICIENT APPROACH FOR VISION INSPECTION OF IC CHIPS LIEW KOK WAH
AN EFFICIENT APPROACH FOR VISION INSPECTION OF IC CHIPS LIEW KOK WAH Report submitted in partial fulfillment of the requirements for the award of the degree of Bachelor of Computer Systems & Software Engineering
More informationResearch on Picking Goods in Warehouse Using Grab Picking Robots
Automation, Control and Intelligent Systems 2016; 4(2): 42-47 http://www.sciencepublishinggroup.com/j/acis doi: 10.11648/j.acis.20160402.16 ISSN: 2328-5583 (Print); ISSN: 2328-5591 (Online) Research on
More informationLibyan Licenses Plate Recognition Using Template Matching Method
Journal of Computer and Communications, 2016, 4, 62-71 Published Online May 2016 in SciRes. http://www.scirp.org/journal/jcc http://dx.doi.org/10.4236/jcc.2016.47009 Libyan Licenses Plate Recognition Using
More informationA Training Based Approach for Vehicle Plate Recognition (VPR)
A Training Based Approach for Vehicle Plate Recognition (VPR) Laveena Agarwal 1, Vinish Kumar 2, Dwaipayan Dey 3 1 Department of Computer Science & Engineering, Sanskar College of Engineering &Technology,
More informationExperiments with An Improved Iris Segmentation Algorithm
Experiments with An Improved Iris Segmentation Algorithm Xiaomei Liu, Kevin W. Bowyer, Patrick J. Flynn Department of Computer Science and Engineering University of Notre Dame Notre Dame, IN 46556, U.S.A.
More informationFovea and Optic Disc Detection in Retinal Images with Visible Lesions
Fovea and Optic Disc Detection in Retinal Images with Visible Lesions José Pinão 1, Carlos Manta Oliveira 2 1 University of Coimbra, Palácio dos Grilos, Rua da Ilha, 3000-214 Coimbra, Portugal 2 Critical
More informationPose Invariant Face Recognition
Pose Invariant Face Recognition Fu Jie Huang Zhihua Zhou Hong-Jiang Zhang Tsuhan Chen Electrical and Computer Engineering Department Carnegie Mellon University jhuangfu@cmu.edu State Key Lab for Novel
More informationA Comparison of Histogram and Template Matching for Face Verification
A Comparison of and Template Matching for Face Verification Chidambaram Chidambaram Universidade do Estado de Santa Catarina chidambaram@udesc.br Marlon Subtil Marçal, Leyza Baldo Dorini, Hugo Vieira Neto
More informationENHANCHED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION
ENHANCHED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION Prof. Rahul Sathawane 1, Aishwarya Shende 2, Pooja Tete 3, Naina Chandravanshi 4, Nisha Surjuse 5 1 Prof. Rahul Sathawane, Information Technology,
More informationAutomatic Licenses Plate Recognition System
Automatic Licenses Plate Recognition System Garima R. Yadav Dept. of Electronics & Comm. Engineering Marathwada Institute of Technology, Aurangabad (Maharashtra), India yadavgarima08@gmail.com Prof. H.K.
More informationNumber Plate Recognition Using Segmentation
Number Plate Recognition Using Segmentation Rupali Kate M.Tech. Electronics(VLSI) BVCOE. Pune 411043, Maharashtra, India. Dr. Chitode. J. S BVCOE. Pune 411043 Abstract Automatic Number Plate Recognition
More informationAn Effective Method for Removing Scratches and Restoring Low -Quality QR Code Images
An Effective Method for Removing Scratches and Restoring Low -Quality QR Code Images Ashna Thomas 1, Remya Paul 2 1 M.Tech Student (CSE), Mahatma Gandhi University Viswajyothi College of Engineering and
More informationVision Review: Image Processing. Course web page:
Vision Review: Image Processing Course web page: www.cis.udel.edu/~cer/arv September 7, Announcements Homework and paper presentation guidelines are up on web page Readings for next Tuesday: Chapters 6,.,
More informationAutomatic Locating the Centromere on Human Chromosome Pictures
Automatic Locating the Centromere on Human Chromosome Pictures M. Moradi Electrical and Computer Engineering Department, Faculty of Engineering, University of Tehran, Tehran, Iran moradi@iranbme.net S.
More informationStamp detection in scanned documents
Annales UMCS Informatica AI X, 1 (2010) 61-68 DOI: 10.2478/v10065-010-0036-6 Stamp detection in scanned documents Paweł Forczmański Chair of Multimedia Systems, West Pomeranian University of Technology,
More informationFace Detection System on Ada boost Algorithm Using Haar Classifiers
Vol.2, Issue.6, Nov-Dec. 2012 pp-3996-4000 ISSN: 2249-6645 Face Detection System on Ada boost Algorithm Using Haar Classifiers M. Gopi Krishna, A. Srinivasulu, Prof (Dr.) T.K.Basak 1, 2 Department of Electronics
More informationImproved SIFT Matching for Image Pairs with a Scale Difference
Improved SIFT Matching for Image Pairs with a Scale Difference Y. Bastanlar, A. Temizel and Y. Yardımcı Informatics Institute, Middle East Technical University, Ankara, 06531, Turkey Published in IET Electronics,
More informationIDENTIFICATION OF SIGNATURES TRANSMITTED OVER RAYLEIGH FADING CHANNEL BY USING HMM AND RLE
International Journal of Technology (2011) 1: 56 64 ISSN 2086 9614 IJTech 2011 IDENTIFICATION OF SIGNATURES TRANSMITTED OVER RAYLEIGH FADING CHANNEL BY USING HMM AND RLE Djamhari Sirat 1, Arman D. Diponegoro
More informationDetecting Resized Double JPEG Compressed Images Using Support Vector Machine
Detecting Resized Double JPEG Compressed Images Using Support Vector Machine Hieu Cuong Nguyen and Stefan Katzenbeisser Computer Science Department, Darmstadt University of Technology, Germany {cuong,katzenbeisser}@seceng.informatik.tu-darmstadt.de
More informationA NOVEL APPROACH FOR CHARACTER RECOGNITION OF VEHICLE NUMBER PLATES USING CLASSIFICATION
A NOVEL APPROACH FOR CHARACTER RECOGNITION OF VEHICLE NUMBER PLATES USING CLASSIFICATION Nora Naik Assistant Professor, Dept. of Computer Engineering, Agnel Institute of Technology & Design, Goa, India
More informationRESEARCH PAPER FOR ARBITRARY ORIENTED TEAM TEXT DETECTION IN VIDEO IMAGES USING CONNECTED COMPONENT ANALYSIS
International Journal of Latest Trends in Engineering and Technology Vol.(7)Issue(4), pp.137-141 DOI: http://dx.doi.org/10.21172/1.74.018 e-issn:2278-621x RESEARCH PAPER FOR ARBITRARY ORIENTED TEAM TEXT
More informationAutomated License Plate Recognition for Toll Booth Application
RESEARCH ARTICLE OPEN ACCESS Automated License Plate Recognition for Toll Booth Application Ketan S. Shevale (Department of Electronics and Telecommunication, SAOE, Pune University, Pune) ABSTRACT This
More informationVehicle Number Plate Recognition with Bilinear Interpolation and Plotting Horizontal and Vertical Edge Processing Histogram with Sound Signals
Vehicle Number Plate Recognition with Bilinear Interpolation and Plotting Horizontal and Vertical Edge Processing Histogram with Sound Signals Aarti 1, Dr. Neetu Sharma 2 1 DEPArtment Of Computer Science
More informationFinger print Recognization. By M R Rahul Raj K Muralidhar A Papi Reddy
Finger print Recognization By M R Rahul Raj K Muralidhar A Papi Reddy Introduction Finger print recognization system is under biometric application used to increase the user security. Generally the biometric
More informationIdentification of Fake Currency Based on HSV Feature Extraction of Currency Note
Identification of Fake Currency Based on HSV Feature Extraction of Currency Note Neetu 1, Kiran Narang 2 1 Department of Computer Science Hindu College of Engineering (HCE), Deenbandhu Chhotu Ram University
More informationA Study of Image Processing on Identifying Cucumber Disease
A Study of Image Processing on Identifying Cucumber Disease Yong Wei, Ruokui Chang *, Hua Liu,Yanhong Du, Jianfeng Xu Department of Electromechanical Engineering, Tianjin Agricultural University, Tianjin,
More informationResearch on 3-D measurement system based on handheld microscope
Proceedings of the 4th IIAE International Conference on Intelligent Systems and Image Processing 2016 Research on 3-D measurement system based on handheld microscope Qikai Li 1,2,*, Cunwei Lu 1,**, Kazuhiro
More informationReal Time Word to Picture Translation for Chinese Restaurant Menus
Real Time Word to Picture Translation for Chinese Restaurant Menus Michelle Jin, Ling Xiao Wang, Boyang Zhang Email: mzjin12, lx2wang, boyangz @stanford.edu EE268 Project Report, Spring 2014 Abstract--We
More informationCURRENCY DETECTION AND DENOMINATION SYSTEM USING IMAGE PROCESSING Pranjal Ambre 1, Ahamadraja Mansuri 2, Harsh Patel 3, Assistant Prof.
CURRENCY DETECTION AND DENOMINATION SYSTEM USING IMAGE PROCESSING Pranjal Ambre 1, Ahamadraja Mansuri 2, Harsh Patel 3, Assistant Prof. Sunita Naik 4 B.E. Computer Engineering, VIVA Institute of Technology,
More informationBASIC OPERATIONS IN IMAGE PROCESSING USING MATLAB
BASIC OPERATIONS IN IMAGE PROCESSING USING MATLAB Er.Amritpal Kaur 1,Nirajpal Kaur 2 1,2 Assistant Professor,Guru Nanak Dev University, Regional Campus, Gurdaspur Abstract: - This paper aims at basic image
More informationISSN No: International Journal & Magazine of Engineering, Technology, Management and Research
Design of Automatic Number Plate Recognition System Using OCR for Vehicle Identification M.Kesab Chandrasen Abstract: Automatic Number Plate Recognition (ANPR) is an image processing technology which uses
More informationStudy and Analysis of various preprocessing approaches to enhance Offline Handwritten Gujarati Numerals for feature extraction
International Journal of Scientific and Research Publications, Volume 4, Issue 7, July 2014 1 Study and Analysis of various preprocessing approaches to enhance Offline Handwritten Gujarati Numerals for
More informationFACE RECOGNITION USING NEURAL NETWORKS
Int. J. Elec&Electr.Eng&Telecoms. 2014 Vinoda Yaragatti and Bhaskar B, 2014 Research Paper ISSN 2319 2518 www.ijeetc.com Vol. 3, No. 3, July 2014 2014 IJEETC. All Rights Reserved FACE RECOGNITION USING
More informationMAV-ID card processing using camera images
EE 5359 MULTIMEDIA PROCESSING SPRING 2013 PROJECT PROPOSAL MAV-ID card processing using camera images Under guidance of DR K R RAO DEPARTMENT OF ELECTRICAL ENGINEERING UNIVERSITY OF TEXAS AT ARLINGTON
More informationTHE PROPOSED IRAQI VEHICLE LICENSE PLATE RECOGNITION SYSTEM BY USING PREWITT EDGE DETECTION ALGORITHM
THE PROPOSED IRAQI VEHICLE LICENSE PLATE RECOGNITION SYSTEM BY USING PREWITT EDGE DETECTION ALGORITHM ELAF J. AL TAEE Computer Science, Kufa University, College of Education Kufa, Najaf, IRAQ E-mail: elafj.altaee@uokufa.edu.iq
More informationTHERMAL DETECTION OF WATER SATURATION SPOTS FOR LANDSLIDE PREDICTION
THERMAL DETECTION OF WATER SATURATION SPOTS FOR LANDSLIDE PREDICTION Aufa Zin, Kamarul Hawari and Norliana Khamisan Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan,
More informationBIOMETRIC IDENTIFICATION USING 3D FACE SCANS
BIOMETRIC IDENTIFICATION USING 3D FACE SCANS Chao Li Armando Barreto Craig Chin Jing Zhai Electrical and Computer Engineering Department Florida International University Miami, Florida, 33174, USA ABSTRACT
More informationImage Processing: Capturing Student Attendance Data
Abstract I S S N 2 2 7 7-3061 Image Processing: Capturing Student Attendance Data Hendra Kurniawan (1), Melda Agarina (2), Suhendro Yusuf Irianto (3) (1,2,3) Lecturer, Department of Computer Scince, IIB
More informationECC419 IMAGE PROCESSING
ECC419 IMAGE PROCESSING INTRODUCTION Image Processing Image processing is a subclass of signal processing concerned specifically with pictures. Digital Image Processing, process digital images by means
More informationConstructing Simple Nonograms of Varying Difficulty
Constructing Simple Nonograms of Varying Difficulty K. Joost Batenburg,, Sjoerd Henstra, Walter A. Kosters, and Willem Jan Palenstijn Vision Lab, Department of Physics, University of Antwerp, Belgium Leiden
More informationFingertip Detection: A Fast Method with Natural Hand
Fingertip Detection: A Fast Method with Natural Hand Jagdish Lal Raheja Machine Vision Lab Digital Systems Group, CEERI/CSIR Pilani, INDIA jagdish@ceeri.ernet.in Karen Das Dept. of Electronics & Comm.
More informationCSC 320 H1S CSC320 Exam Study Guide (Last updated: April 2, 2015) Winter 2015
Question 1. Suppose you have an image I that contains an image of a left eye (the image is detailed enough that it makes a difference that it s the left eye). Write pseudocode to find other left eyes in
More informationCOMPUTER-AIDED DETECTION OF CLUSTERED CALCIFICATION USING IMAGE MORPHOLOGY
COMPUTER-AIDED DETECTION OF CLUSTERED CALCIFICATION USING IMAGE MORPHOLOGY Ariya Namvong Department of Information and Communication Technology, Rajamangala University of Technology Isan, Nakhon Ratchasima,
More informationThe Research of the Strawberry Disease Identification Based on Image Processing and Pattern Recognition
The Research of the Strawberry Disease Identification Based on Image Processing and Pattern Recognition Changqi Ouyang, Daoliang Li, Jianlun Wang, Shuting Wang, Yu Han To cite this version: Changqi Ouyang,
More information>>> from numpy import random as r >>> I = r.rand(256,256);
WHAT IS AN IMAGE? >>> from numpy import random as r >>> I = r.rand(256,256); Think-Pair-Share: - What is this? What does it look like? - Which values does it take? - How many values can it take? - Is it
More informationHigh-speed Noise Cancellation with Microphone Array
Noise Cancellation a Posteriori Probability, Maximum Criteria Independent Component Analysis High-speed Noise Cancellation with Microphone Array We propose the use of a microphone array based on independent
More informationRecognition Of Vehicle Number Plate Using MATLAB
Recognition Of Vehicle Number Plate Using MATLAB Mr. Ami Kumar Parida 1, SH Mayuri 2,Pallabi Nayk 3,Nidhi Bharti 4 1Asst. Professor, Gandhi Institute Of Engineering and Technology, Gunupur 234Under Graduate,
More informationMultiresolution Analysis of Connectivity
Multiresolution Analysis of Connectivity Atul Sajjanhar 1, Guojun Lu 2, Dengsheng Zhang 2, Tian Qi 3 1 School of Information Technology Deakin University 221 Burwood Highway Burwood, VIC 3125 Australia
More informationDetection of License Plate using Sliding Window, Histogram of Oriented Gradient, and Support Vector Machines Method
Journal of Physics: Conference Series PAPER OPEN ACCESS Detection of License Plate using Sliding Window, Histogram of Oriented Gradient, and Support Vector Machines Method To cite this article: INGA Astawa
More informationAn Efficient Color Image Segmentation using Edge Detection and Thresholding Methods
19 An Efficient Color Image Segmentation using Edge Detection and Thresholding Methods T.Arunachalam* Post Graduate Student, P.G. Dept. of Computer Science, Govt Arts College, Melur - 625 106 Email-Arunac682@gmail.com
More informationWeaving Density Evaluation with the Aid of Image Analysis
Lenka Techniková, Maroš Tunák Faculty of Textile Engineering, Technical University of Liberec, Studentská, 46 7 Liberec, Czech Republic, E-mail: lenka.technikova@tul.cz. maros.tunak@tul.cz. Weaving Density
More informationIris Recognition using Hamming Distance and Fragile Bit Distance
IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 06, 2015 ISSN (online): 2321-0613 Iris Recognition using Hamming Distance and Fragile Bit Distance Mr. Vivek B. Mandlik
More informationNigerian Vehicle License Plate Recognition System using Artificial Neural Network
Nigerian Vehicle License Plate Recognition System using Artificial Neural Network Amusan D.G 1, Arulogun O.T 2 and Falohun A.S 3 Open and Distance Learning Centre, Ladoke Akintola University of Technology,
More information