X9 REGISTRY FOR CHECK IMAGE TESTS

Similar documents
X9 REGISTRY FOR CHECK IMAGE TESTS

Delete Current Exhibit VI and replace with this Exhibit VI Keep same Title

Bar code Verifier Conformance Specifications. Using the INTEGRA-9000

DECISION NUMBER FOURTEEN TO THE TREATY ON OPEN SKIES

Fitness Guidelines for Federal Reserve Notes. Federal Reserve System Cash Product Office (CPO)

Foundations of Math 11: Unit 2 Proportions. The scale factor can be written as a ratio, fraction, decimal, or percentage

ECC419 IMAGE PROCESSING

Histogram equalization

Nova Full-Screen Calibration System

The BioBrick Public Agreement. DRAFT Version 1a. January For public distribution and comment

dlsoft Barcode Analyser By dlsoft

Continuous On-line Measurement of Water Content in Petroleum (Crude Oil and Condensate)

Digital Libraries. Conversion to Digital Formats. Anne Kenney, Cornell University Library

White Paper. Scanning the Perfect Page Every Time Take advantage of advanced image science using Perfect Page to optimize scanning

A Fast Segmentation Algorithm for Bi-Level Image Compression using JBIG2

WHITE PAPER. Methods for Measuring Flat Panel Display Defects and Mura as Correlated to Human Visual Perception

The Impact of Third-Party Inks on Image Quality

The Impact of Third-Party Inks on Image Quality

White Paper Focusing more on the forest, and less on the trees

ImageJ, A Useful Tool for Image Processing and Analysis Joel B. Sheffield

G7 Master & G7 Process Control Master Pass/Fail Requirements

UNSIGNED HARDCOPY NOT CONTROLLED. Reference Designation Marking and Miscellaneous Coding

Chapter 17. Shape-Based Operations

STANDARD ST.67 MAY 2012 CHANGES

SEAMS DUE TO MULTIPLE OUTPUT CCDS

INFORMATION CONCERNING TESTS OF BANKNOTE AUTHENTICITY CHECKING OR FITNESS SORTING MACHINES

N-Mark Trademark Usage Guidelines for Devices. November 2010

Motion Detection Keyvan Yaghmayi

Exercise NMCGJ: Image Processing

Digital Media. Daniel Fuller ITEC 2110

ISO Verification Fact Sheet

Specification for Quality Control (Version 1.1) (March. 2006)

Adobe Photoshop. Levels

Capturing and Editing Digital Images *

Exhibit Design Regulations

Exhibit Design Regulations

NON UNIFORM BACKGROUND REMOVAL FOR PARTICLE ANALYSIS BASED ON MORPHOLOGICAL STRUCTURING ELEMENT:

APPENDIX C: Photography Guidelines

PATENT COOPERATION TREATY. Date of mailing. (day/month/year) REPLY DUE. (day/month/year)

The next table shows the suitability of each format to particular applications.

Category: Data/Information Keywords: Records Management, Digitization, Imaging, Image capture, Scanning and Indexing

City of Keizer Floodplain/Greenway Development Application

LS-600. English Ver. 1. 1Operator's Manual

Wisconsin Heritage Online Digital Imaging Guidelines QUICK GUIDE TO SCANNING

MULTIPLE SENSORS LENSLETS FOR SECURE DOCUMENT SCANNERS

GE 113 REMOTE SENSING. Topic 7. Image Enhancement

The Necessary Resolution to Zoom and Crop Hardcopy Images

DICOM Correction Item

BEMFV. Order on the procedure for providing proof as regards limiting exposure to. electromagnetic fields

Automatic Enhancement and Binarization of Degraded Document Images

SEI Certification Program Manual

E/ECE/324/Rev.1/Add.47/Rev.6/Amend.1 E/ECE/TRANS/505/Rev.1/Add.47/Rev.6/Amend.1

Resampling in hyperspectral cameras as an alternative to correcting keystone in hardware, with focus on benefits for optical design and data quality

Quick Start Overview. Related Information. In addition, the sensor includes integrated Help.

SPECIFICATION FOR PAPER STATIONERY ITEMS FOR SCHOOLS ( First Revision of IS 5195)

ISO INTERNATIONAL STANDARD. Photography Electronic still-picture cameras Resolution measurements

Defense Technical Information Center Compilation Part Notice

Research on 3-D measurement system based on handheld microscope

Biometrics for Public Sector Applications

EASTMAN KODAK COMPANY Austin Development Center 8920 Business Park Drive Austin, TX LOGO GUIDELINES

SIEVE CERTIFICATION SYSTEM

NATIONAL BANK OF THE REPUBLIC OF MACEDONIA

Introduction. Introduction

Horizontal Mezzanine Gate

DIGITAL IMAGE PROCESSING Quiz exercises preparation for the midterm exam

SECTION CONTRACTOR SUBMITTALS. A. All submittals by the CONTRACTOR shall be submitted to the ENGINEER.

J O I N T I N D U S T R Y S T A N D A R D. Requirements for Soldering Pastes J Standard 005A. December 2011

Volume III July, 2009

Blur Detection for Historical Document Images

Pixilation and Resolution name:

Parameters of Image Quality

SIGN PERMIT APPLICATION

Aston Martin Red Bull Racing Partner Logos

NATIONAL BANK OF THE REPUBLIC OF MACEDONIA

Image Processing Lecture 4

ROBOT VISION. Dr.M.Madhavi, MED, MVSREC

SUBMITTING A PRESS-READY COVER For Paperback Books with Perfect Binding, Plastic Comb, and Plastic Coil Binding

Aimetis Outdoor Object Tracker. 2.0 User Guide

What is real? What is art?

An Efficient Color Image Segmentation using Edge Detection and Thresholding Methods

SCANNING GUIDELINES Peter Thompson (rev. 9/21/02) OVERVIEW

BOOTH CONSTRUCTION & DISPLAY REQUIREMENTS Huntington Convention Center Cleveland, Ohio February 7 9, 2018

IMPORTANT NOTICE: PLEASE READ CAREFULLY BEFORE INSTALLING THE SOFTWARE: THIS LICENCE AGREEMENT (LICENCE) IS A LEGAL AGREEMENT BETWEEN

18 1 Printing Techniques. 1.1 Basic Printing Techniques

Electro-Optic Identification Research Program: Computer Aided Identification (CAI) and Automatic Target Recognition (ATR)

Image optimization guide

CS 548: Computer Vision REVIEW: Digital Image Basics. Spring 2016 Dr. Michael J. Reale

Advisory Raised Characters. Signs that are designed to be read by touch should not have sharp or abrasive edges.

Thermal Banding Analysis in Wide Format Inkjet Printing

MIL-STD-883H METHOD ULTRASONIC INSPECTION OF DIE ATTACH

Technical information about PhoToPlan

SECTION SUBMITTAL PROCEDURES

A Novel Morphological Method for Detection and Recognition of Vehicle License Plates

Americans with Disabilities Act and Architectural Barriers Act Accessibility Guidelines

Texture Editor. Introduction

Frequently Asked Questions (FAQs) Pertaining to G7,GRACoL and ISO

The US Chess Rating system

Revisions to ASTM D7310 Standard Guide for Defect Detection and Rating of Plastic Films Using Optical Sensors

MILITARY SPECIFICATION LIGHTING, INSTRUMENT, INTEGRAL, WHITE GENERAL SPECIFICATION FOR

AN INFRARED IMAGE ACQUISITION AND ANALYSIS METHOD FOR QUANTIFYING OPTICAL RESPONSES TO CHEMICAL AGENT VAPOR EXPOSURE

Transcription:

X9 REGISTRY FOR CHECK IMAGE TESTS FSTC Horizontal Streaks Present In The Image #015.00 Check Image Test Status: A Where: A = Active (approved for use) W = Withdrawn (not for use) S = Superseded (not for use - replaced by specified test) Check Image Test Summary: Field/ Element Defined Values Recommended Value Data Units Image Test Name FSTC Horizontal Streaks Present In The Image Image Test Number 015.00 Image Test Version 00 Image Test Results (Ref. #): Number of Streaks (R1) 0 through 99 Largest Streak Height (R2) 0 through 99 Scan Lines Image Test Parameters (Ref #): Maximum Black Streak Count Threshold (P1) 0 through 99 Front: 3 Rear: Not Available Maximum Black Streak Height Threshold (P2) 0 through 99 Front: 24 Rear: 50 Pixels Maximum Gray Level Streak Count Threshold (P3) 0 through 99 Front: 3 Rear: Not Available Maximum Gray Level Streak Height Threshold (P4) 0 through 99 Front: 24 Rear: 25 Pixels Black Streak Percentage (P5) 0 through 1000 99 Tenths of a Percent Streak Contrast (P6) 0 through 1000 400 Tenths of a Percent Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 1

1.0 Applicant Information 1.1 Organization Name: Financial Service Technology Consortium 1.2 Organization Address: 44 Wall St. 12 th Floor New York, NY 10005 1.3 Organization Web Site URL: www.fstc.org 2.0 Image Test Description 2.1 Image Test Name: FSTC Horizontal Streaks Present In The Image 2.2 Image Test XML Name: HorizontalStreaksInImage 2.3 Image Test Definition: A defect due to the image containing one or more dark (for all images) or light (for gray level and color images) horizontal streaks that extend horizontally across the majority of the entire document image. 2.4 Image Test Applicability: Front Image Rear Image B/W Image Grayscale Image Color Image 2.5 Intended Use: Intended business use/ application, business context, and business impact when test fails. 2.6 Possible Causes for Condition Being Tested: FSTC recommends this metric for use as part of a general system-health monitoring and image quality assurance program. The Horizontal Streaks metric for all check images is designed to detect occurrences of images where there is a high probability that the check data obscured by one or more streaks in the image. The impact of this may be: Dark streaks can result in the illegibility and/or potential non-usability of a required field within an image representation of an item. The appearance of white streaks may lead to image capture suspects and/or non-usability. Either light or dark streaks and/or bands will affect image capture suspect rates, for both are treated somewhat equally during the image quality suspect routine. This defect may be due to one or more of the following problems: Dirt and/or ink that can adhere to either the image capture scan window or camera lens commonly present in most high, medium or low-speed document transport imaging systems. A scratch or irregularity present on the image scan window or camera lens top or bottom. Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 2

Dirt or debris on camera calibration targets, i.e., white reference targets. Failure of the image camera CCD sensor or electronics. 2.7 (or Repetitive) Streak A horizontal streak in a bi-tonal image will be characterized by two attributes: (1) A horizontal scan line that is composed almost entirely of black pixels, and (2) A height which is the measure of the number of contiguous scan lines that appear to be nearly all black. There is no provision for measuring a white streak in a bi-tonal image. A gray level or color horizontal streak is characterized by the following two attributes: (1) A horizontal scan line whose average gray level is significantly lighter or darker than the neighboring horizontal scan lines, and (2) A height which is a measure of the number of contiguous gray level scan lines that appear to be have nearly the same average gray level value. XML Names: FSTC defined XML names as needed for its project. FSTC is not submitting these XML names, and instead requests that the RMG or X9B assign appropriate XML names and data structures for the metrics. Border Rule: Metric measurements and computations for both bi-tonal and gray/color image renditions shall exclude the image pixels that are located in a perimeter region at the top and bottom of the document image. The size of the top and bottom perimeter is defined to be.25 inches from the top and bottom edges of the image. Rounding Rule: All fractional values shall be rounded to the nearest whole unit of measure when rounding is required. Fractional values of exactly ½ unit shall be rounded up. Data Ranges: FSTC did not establish a formal data range for individual metrics. Any data ranges provided are based on adjusted values used during the FSTC project. FSTC does not object if the RMG modifies the data ranges. Data Range Exception Handling: If a result exceeds the defined data range, the preferred handling is to truncate the result at the maximum (or minimum) value. If truncation is not implemented, then the test should fail and a result of indeterminate should be returned. Margin of Error: FSTC established a margin of error for use during the FSTC Image Quality and Usability Phase 2 project. This margin of error is included in the recommendations below. It was established based on the expertise of the project s membership, the potential for various algorithms to produce slightly different results for a given metric, and the observed precision of the results submitted during accuracy testing of metric implementations. Value Reporting: The value of this metric will be reported under all image quality flag conditions. If the defect condition is not tested or indeterminate, the value of the image metric(s) reported for this defect will be set to zero (0). Contrast Definition: The term "Contrast" is defined in the "Image Too Light" test. Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 3

2.8 Test Results Reported A test result is the outcome realized from executing an image test. The outcome will typically be the observed or measured value of some attribute pertaining to the image being tested. Any dependency of a test result on an image side (front or rear), image rendition (B/W, Gray, Color), or other condition shall be fully defined in the Information section. Data types allowed are as defined in ANS X9.100-180-2006, but are typically alphabetic, numeric, alphanumeric, signed numeric (using + and - to denote sign), etc. 2.8.1 First Image Test Result (R1) Test Result Name: Number of Streaks Test Result XML Name: Data Type: Data Units: Data Range: Margin of Error (in Data Units) (Where StreakNumber Numeric 0-99 0 The number of horizontal streaks detected on image of the check where the height of the streak is less than or equal to the Maximum [Black or Gray] Streak Height to be Detected (2.9.2 or 2.9.4) Formula and/ or Algorithm: Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 4

2.8.2 Second Image Test Result (R2) Test Result Name: Largest Streak Height Test Result XML Name: Data Type: Data Units: Data Range: Margin of Error in Data Units (Where LargestStreakHeight Numeric Scan lines 0-99 5 The height, in scan lines, of the largest streak detected in the image. The formula for defining Streak Height is as follows: Formula and/ or Algorithm: For Black and White: Number of Contiguous Horizontal Scan Lines where the Black Pixel Percentage > Black Streak Percentage Parameter (2.9.5) For Grayscale or Color: Number of Contiguous Horizontal Scan Lines for which the Average Horizontal Scan Line Contrast > Streak Contrast Parameter (2.9.6) Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 5

2.9 Test Parameters Reported Examples of image test parameters are threshold values used to compute a pass/fail image test flag condition, and constant values used in a formula or algorithm to compute an image test result. Any dependency of a test parameter on an image side (front or rear), image rendition (B/W, Gray, Color), or other condition shall be fully defined in the Information section. Any dependency of recommended values on an image side (front or rear), image rendition (B/W, Gray, Color), or other condition shall be fully defined in the Recommended Values section. Data types allowed are as defined in ANS X9.100-180-2006, but are typically alphabetic, numeric, alphanumeric, signed numeric (using + and - to denote sign), etc. 2.9.1 First Test Parameter (P1) Test Parameter Name: Maximum Black Streak Count Threshold MaxBlackStreakCountThreshold Numeric 0-99 Front: 3 Rear: Not Available This threshold represents the maximum number of black streaks allowed in the image. Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 6

2.9.2 Second Test Parameter (P2) Test Parameter Name: Maximum Black Streak Height Threshold MaxBlackStreakHeightThreshold Numeric Pixels 0-99 Front: 24 Rear: 50 This threshold represents the maximum height of black streaks to be included within the count of black streaks allowed on the image. This parameter limits the height of streaks that are included in the black streak count as well as defining a streak size above which a defect will always be reported. The rear threshold reported above was the setting used in FSTC s accuracy testing, not determined from the testing with the Viewpointe Archive. 2.9.3 Third Test Parameter (P3) Test Parameter Name: Maximum Gray Level Streak Count Threshold MaxGrayStreakCountThreshold Numeric 0-99 Front: 3 Rear: This threshold represents the maximum number of Gray Level streaks allowed on the image. Due to limitations in the sample tested, Gray Level recommendations should be regarded as tentative. Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 7

2.9.4 Fourth Test Parameter (P4) Test Parameter Name: Maximum Gray Level Streak Height Threshold MaxGrayStreakHeightThreshold Numeric Pixels 0-99 Front: 24 Rear: 25 This threshold represents the maximum height of gray level streaks to be included within the count of streaks allowed on the image. This parameter limits the height of streaks that are included in the gray level streak count as well as defining a streak size above which a defect will always be reported. Due to limitations in the sample tested, Gray Level recommendations should be regarded as tentative. The rear threshold reported above was the setting used in FSTC s accuracy testing, not determined from the testing with the Viewpointe Archive. 2.9.5 Fifth Test Parameter (P5) Test Parameter Name: Black Streak Percentage BlackStreakPercentage Numeric Tenths of a percent 0-1000 99 This parameter is used to determine what percentage of the pixels on a scan line must be black in order for that scan line to be considered a streak in a bitonal image. The same value is used on both the front and rear images. Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 8

2.9.6 Sixth Test Parameter (P6) Test Parameter Name: Streak Contrast StreakContrast Numeric Tenths of a percent 0-1000 400 This parameter is defined as the percent change in the vertical gray level contrast, in units of 0.1 percent., e.g. 250 = a 25.0 % change in contrast between a horizontal scan line (or group of scan lines) and adjacent horizontal scan lines will be required before the scan line is considered the starting/ending boundary of a gray level streak. The same value is used on both the front and rear images. Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 9

2.10 Image Test Flag Pass/Fail Criteria: The Image Test Flag (see ANS X9.100-40-1-2006 for details) will convey one of the following four test conditions: Condition not tested Condition tested and result = fail Condition tested and result = pass Condition tested and result=indeterminate Results are reported independently for the Front and Rear image renditions. Selection of the threshold value corresponding to the image view (front or rear) is the responsibility of the implementer. The numbers in the parentheses in the formulae below refer to the section of this document where each result and parameter is defined. If condition not tested then flag=not tested If condition tested then flag = fail if one or more of the following conditions is present: Bitonal: Number of Streaks (2.8.1) > Maximum Black Streak Count Threshold (2.9.1) OR Largest Streak Height (2.8.2) > Maximum Black Streak Height Threshold (2.9.2) Grayscale or Color: Number of Streaks (2.8.1) > Largest Streak Height (2.8.2) > Maximum Gray Level Streak Count Threshold (2.9.3) Maximum Gray Level Streak Height Threshold (2.9.4) OR If condition tested and none of the fail conditions is present then flag=pass If condition tested but could not determine pass or fail for any reason then flag=indeterminate Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 10

3.0 Restrictions & Intellectual Property 3.1 Are there any known restrictions in the use of the submitted check image test and related technology (technical, performance, legal, business, platform, etc.)? 3.2 Are proprietary Intellectual Property (IP) rights in the form of Patents associated with the description and use of the submitted check image test? 3.3 Are proprietary Intellectual Property (IP) rights in the form of proprietary material and/or other intellectual property (e.g. specific to a vendor tool, device, or product) associated with the description and use of the submitted check image test? No Yes - please provide details: No Yes Please provide patent and/or patent application numbers and indicate who owns the IP. Also provide evidence that the patent holder agrees to comply with the X9 Procedures including the X9 patent policy: No Yes Please provide evidence that the owner agrees to provide the Proprietary IP Holder Statement contained in Annex B of ANS X9.100-40-2006 Part 2: Notice: By accepting a check image test for registration, ASC X9 is not endorsing, certifying validity, certifying performance, nor providing any warranty for the registered check image test. The organization using the test shall determine which test(s) to use based on their own business needs, perceived benefit, and validation/ assessment of any test results provided by the check image test supplier, their own testing, or a third party. Approved by: X9 RMG for Check Image Tests Sept 15, 2006 - Rev 1 April 30, 2007 Page 11