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WG3 report on Biometric Data Format and Related Standards

WG3 report on Biometric Data Format and Related Standards. Christoph Busch - ISO/IEC JTC1/SC37 WG3 Convenor - Darmstadt 2014-01-20. Meetings. Winchester 2013-04-22 to 2013-04-26 THANKS to the UK for hosting us Darmstadt 2014-01-13 to 2014-01-17. Christoph Busch. 2.

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WG3 report on Biometric Data Format and Related Standards

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  1. WG3 report on Biometric Data Format and Related Standards • Christoph Busch • - ISO/IEC JTC1/SC37 WG3 Convenor - • Darmstadt 2014-01-20

  2. Meetings • Winchester • 2013-04-22 to 2013-04-26 • THANKS to the UK for hosting us • Darmstadt • 2014-01-13 to 2014-01-17 Christoph Busch 2

  3. Biometric Data Interchange Formats Christoph Busch 19

  4. Generation 2 of ISO/IEC 19794 G1 19794-1:2006 -2:2005 -3:2006 -4:2005 -5:2005 -6:2005 -7:2007 -8:2006 -9:2007 -10:2007 All partsbinary encoding G2 19794-1:2011 19794-1 AMD2 XML Framework 19794-1 AMD1 Conformance testing methodology -2:2011 -4:2011 -5:2011 -6:2011 -7:201x -8:2011 -9:2011 -11:2013 -13:201x -14:2013 -2:201x -4:201x -5:201x -6:201x -7:201x -9:201x the semantic (i.e. general header / structure of representation header)equivalent for binary encoded and XML encoded parts in G2 Christoph Busch 21

  5. Part 15: Palm crease image data • ISO/IEC 19794-15 • A standard image interchange format for biometric systems that utilize human palm crease pattern images (alias palm lines) • The format will contain detailed pixel information, units of measurement, description of imaging area of body, and imaging methods such as transparency or reflectance image Christoph Busch 34

  6. Part 15: Palm crease image data • Darmstadt Decisions • The title will be aligned with ANSI/NIST term„palm crease“ • Draft must be aligned with 19794-4 • Seeking for revised draft Christoph Busch 35

  7. Framework for XML Encoding • FDAM ISO/IEC 19794-1:2011 AMD2 XML encoding • Binary and XML encoding schemes in parallel • Clause 12 coding schemes for binary format txpes • Clause 13 coding schemes for xml format type • Will define common data types (accross several parts) and element names and refer to elements that apply to other SC37 project, which may be promoted to SD16 • Mapping between 19794 data elements and those of ANSI/NIST ITL standard may be included as informative annex as an aid for translation • Conventions on harmonization of ElementTypes • Conformance testing of XML-records with schema validation Christoph Busch 36

  8. Framework for XML Encoding • ISO/IEC 19794-1:2011 AMD2 XML encoding • Mapping from common XML elements to binary elements Source: ISO/IEC 19794-1 AMD2: Framework XML Encoding Christoph Busch 38

  9. XML Encoding • Darmstadt Decisions • ISO/IEC 19794-1:2011 AMD2 - progress: FDAM • ISO/IEC 19794-2:2011 AMD2 - progress: DAM • ISO/IEC 19794-4:2011 AMD2 - progress: DAM • ISO/IEC 19794-5:2011 AMD2 - progress: PDAM • ISO/IEC 19794-6:2011 AMD2 - progress: 2nd PDAM • ISO/IEC 19794-7:2011 AMD2 - progress: DAM • ISO/IEC 19794-9:2011 AMD2 - progress: DAM Christoph Busch 39

  10. Conformance Testing Methodology • G1 - 29109-x • Part 1, 2, 4, 5, 6, 7, 8. 9 and 10 published • 5th WD 29109-2 AMD1 Level 3 Conformance Testing • seeking for empirical studiess • 2nd rev29109-5 to cover defect reports • this revision will NOT cover the 3D-Face amendment • G2 - 19794-x:2011 AMD1 • Part 1, 2 4 and 9 are published • Part 5 and 11 are FDAM • Part 6 is DAM • Part 14 is PDAM • tables addressed testing of Binary Encoded Records only • adaptation for XML- will be done in AMD2 Christoph Busch 40

  11. Vendor A Vendor B Vendor C Conformance Testing • Minutiae Detection Deficiency Christoph Busch 41

  12. Conformance Testing • ISO/IEC 29109 - Part2: Finger minutiae data • ISO/IEC 29109-2 AMD1: Semantic conformance testing - Part2: Finger minutiae data • Scope: tests of semantic assertions • Type A Level 3 as defined in ISO/IEC 29109-1:2009 Christoph Busch 42

  13. Related Standards and Trends Christoph Busch 43

  14. Biometric Sample Quality • Revision running for • ISO/IEC 29794 Part 1: framework • ISO/IEC 29794 Part 4: finger image data • upgrade from TR to IS to incorporate NFIQ2.0 findingssee: http://www.nist.gov/itl/iad/ig/development_nfiq_2.cfm • 2nd DIS ISO/IEC 29794 Part 6: iris image data Christoph Busch 44

  15. Biometric Sample Quality • Revision ISO/IEC 29794-1:201x • Definitions • Same as before, but allow for a vector of quality components • Goal: • Actionable quality • Each element of quality vector has a score from 0 to 100. Source: ISO/IEC 29794-1 Christoph Busch 46

  16. Biometric Sample Quality • Revision ISO/IEC 29794-1:201x • Darmstadt Decisions • 29794-1 shall support both BIN and XML • No 250 multi-QualityBlock encoding • A QualityVector must be transcoded to n-quality blocks, in order to maintain compatibility with 19794-1:2011 • QualityVector in a container structure should be supported • do not progress: 2nd CD Christoph Busch 47

  17. Biometric Sample Quality - Iris • DIS ISO/IEC 29794-6 iris image data • Scope: • methods used to quantify the quality of iris images, • normative requirements on software and hardware producing iris images, • normative requirements on software and hardware measuring the utility of iris images, • terms and definitions for quantifying iris image quality, and • a standardized encoded iris image quality data record. Christoph Busch 48

  18. Biometric Sample Quality - Iris • Revision ISO/IEC 29794-6:201x • Darmstadt Decisions • Computational method for PUPIL_BOUNDARY_CIRCULARITYis fixed • clarification on human iris sizes • introduce measures from PL to calcurlate sharpness • do not progress: 2nd DIS Christoph Busch 50

  19. Biometric Sample Quality - Finger • Revision ISO/IEC 29794-4:201x • Darmstadt Decisions • Limit to one single Gabor method • More examples will be included • Not compute area of overlap for image-pairs due to lack of quantative measure • do not progress: 3rd WD Christoph Busch 51

  20. Presentation Attack Detection • ISO/IEC 30107 - Scope • terms and definitions that are useful in the specification, characterization and evaluation of presentation attack detection methods; • a common data format for conveying the type of approach used and the assessment of presentation attack in data formats; • principles and methods for performance assessment of presentation attack detection algorithms or mechanisms; and • a classification of known attacks types (in an informative annex). • Outside the scope are • standardization of specific PAD detection methods; • detailed information about countermeasures (i.e. anti-spoofing techniques), algorithms, or sensors; • overall system-level security or vulnerability assessment. Christoph Busch 53

  21. Presentation Attack Detection • Error Rates in ISO/IEC 30107 • Detection might result in errors • presentation attack detection rate (PADR)„proportion of presentation attacks with a defined level of difficulty detected by a system.“ • presentation attack non-detection rate (PA-NDR)„proportion of presentation attacks with a defined level of difficulty not detected by a system.“ • Note of caution: For security assessment rates are irrelevant, if there exists a single artefact that can break the system • presentation attack detection-power level:„level of difficulty of biometric presentation attacks above which the biometric system is not able to detect them.“ Christoph Busch 57

  22. Presentation Attack Detection • Darmstadt Decisions • Encoding of PAD data is not depended on 19794 G2-G3 discussion. A PAD data record will be agnostic about in which structure it is incorporated • PAD sub-results should be collected in a vector -thus extended data will be included in a PAD record • extended data can be either proprietary or standardized (i.e. vendor-ID = 0101, which is „ISO/IEC JTC 1 SC 37-Biometrics“) • PAD data record definition • Tags are defined starting with 8 indicating a compund data • New PAD metrics • 3-part split as some parts are ready to move to CD Christoph Busch 58

  23. Presentation Attack Detection • Darmstadt Decisions on New 30107 parts • Part 1 (IS) - Framework • Elaine Newton • Cl. 1 -6 • progress: CD • Part 2 (IS) - Data formats • Olaf Henniger • Cl. 7 • do not progress: WD • Part 3 (IS) Testing, Reporting and Classification of Attacks • (Michael Thieme) • Annex A+C • Annex C will be promoted to a Clause • do not progress: WD Christoph Busch 59

  24. New project • CCTV • DRAFT RESOLUTION G.6 – Work on CCTVAs Australia has changed its vote on SC 37 N5630, the Proposal for a New Work Item on Use of operator-assisted automated face recognition in CCTV systems – Part 1: Recommendations on design and specification and Part 2: Recommendations on testing and reporting practice has now passed and will be added to the SC 37 program of work. • SC 37 reviewed ... • As a result of this review, SC 37 resolves that SC 37 N5629 and N5630 be merged into one multipart project (30137) with the following structure and placement: • Part 1, Design and specification (WG 4) • Part 2, Performance testing and reporting (WG 5) • Part 3, Data formats (WG 3) Christoph Busch 61

  25. G3 road • Data Interchange Format • Widely adopted and deployed in large number • Reflecting need for distributed systems with XML encoding • Reflecting need for actionalbe feedback wtih quality vectors • Reflecting need for secure system with PAD encoding • Preliminary Discussion with SC17 WG3 • Definition on transition period from G1 to G2 in ICAO 9393 • Suitable revision cycles for definition in ICAO 9303 • Forward and backwards compatibility • Transcodability from XML to BIN and vice versa • Working on concepts in a Special group Christoph Busch 62

  26. Conclusion • Thank you for your support Christoph Busch 63

  27. Conclusion • Thank you for your support Christoph Busch 64

  28. References • Information on WG3 status • and a ppt-copy of theses slides • are available at:http://www.christoph-busch.de/standards-sc37wg3.html Christoph Busch 66

  29. References • List of projects • and a ppt-copy of theses slides • are available at:http://www.christoph-busch.de/standards-sc37wg3.html Christoph Busch 67

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