1 / 27

When failure to match is not an option

When failure to match is not an option. Innovative new technology for accurate matching of low-quality fingerprints. India Partners Anaxee Technologies Pvt. Ltd. Mobile: +91-96300 20005 Email: govind@anaxeetech.com Web: www.anaxeetech.com Contact Person: Govind Agrawal. Overview .

onaona
Download Presentation

When failure to match is not an option

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. When failure to match is not an option Innovative new technology for accurate matching of low-quality fingerprints • India Partners • Anaxee Technologies Pvt. Ltd. • Mobile: +91-96300 20005 • Email: govind@anaxeetech.com • Web: www.anaxeetech.com • Contact Person: Govind Agrawal

  2. Overview • About us • Technology • Products & features • Performance & evaluations • Summary

  3. Warwick Warp • Incorporated Jan 2006. • Spin out from the Image Processing Group, Department of Computer Science, University of Warwick. • Offices at Venture Centre, Warwick Science Park, Coventry, UK.

  4. Technology • Objective is to increase the accuracy of fingerprint matching. • Technical problem is fingerprint variation and associated low quality issues; partial prints, background interference, scars, smudges, scratches, wear & tear, age & occupation, linear & elastic distortion. • Increasing accuracy by dealing with fingerprint quality issues is important; • Opens up new applications where there is a higher proportion of low quality fingerprints. • High Proportion of Manual Labor • Latent/Forensic Applications • Mobile Applications • Military Applications

  5. Technology Innovative technology uses a new model based statistical approach to overcome many of these problems. • New approach features; • Intrinsic mathematical representation of the ridge flow structure. • Produces “idealized” fingerprint images that preserve distinctive features • Specific model for semi-permanent features e.g. scars or scratches • Capable of modeling partial prints • Models low contrast and smudged images

  6. Products & Features Warwick Warps’ business is the development and licensing of software technology for biometrics applications.

  7. Evaluation and Benchmarks-by Quality NFIQ tests before and after show the improvement produced by the technology. NFIQ Quality Score Before and After WW Processing NIST SD29 90% to 10%

  8. Evaluation and Benchmarks-Civil NPL (National Physical Laboratory, UK) independent benchmark – WW technology equals market leaders. NPL Benchmark Against Leading AFIS Vendors Warwick Warp

  9. Evaluation and Benchmarks-Civil NPL (National Physical Laboratory, UK) independent benchmark – WW technology equals market leaders. NIST (National Institute for Science and Technology, US) independent benchmark places WW technology in top tier. NIST Benchmark Against Leading AFIS Vendors (0.1% FAR)

  10. Evaluation and Benchmarks-by Quality NFIQ tests before and after show the improvement produced by the technology. Independent commercial evaluations – performance gap widens as proportion of low quality fingerprints increases. Error % Comparison by NFIQ Classification

  11. Evaluation and Benchmarks-Latent NIST ELFT-EFS public challenge Latent product development started in Apr 2009 Submitted to NIST in July 2009 Latest Version features significant improvements

  12. Technology • Innovative technology uses a new model based statistical approach to overcome many of these problems. • New approach features; • Intrinsic mathematical representation of the ridge flow structure. • Produces “idealized” fingerprint images that preserve distinctive features

  13. Technology • Innovative technology uses a new model based statistical approach to overcome many of these problems. • New approach features; • Intrinsic mathematical representation of the ridge flow structure. • Produces “idealized” fingerprint images that preserve distinctive features • Specific model for semi-permanent features e.g. scars or scratches

  14. Technology • Innovative technology uses a new model based statistical approach to overcome many of these problems. • New approach features; • Intrinsic mathematical representation of the ridge flow structure. • Produces “idealized” fingerprint images that preserve distinctive features • Specific model for semi-permanent features e.g. scars or scratches • Capable of modeling partial prints

  15. Technology

  16. Other Examples

  17. Other Examples

  18. Other Examples

  19. Other Examples

  20. Real life deployments • MoD contracts – Latent/AFIS SDK • Mission Critical Humanitarian projects – AFIS/Latent SDK • 30+ construction sites for work force management – Livescan SDK • Passport control project – Enrollment/AFIS SDK • Auto capture for a major hardware manufacturer – Enrollment SDK • Web-based payment authorisation – Livescan SDK • Mobile AFIS screening project – Latent SDK, Livescan SDK To Name a few: • 1. Major European Passport control  2. Mission Critical humanitarian project in Affica3. Ministry of Defence in the UK4. Mobile AFIS in CHINA

  21. Performance parameters: Accuracy, Speed (Matching/Extraction), memory/space requirements. • Accuracy, see the datasheet, also refer to NIST PFT tests http://biometrics.nist.gov/cs_links/PFT/tables2f_040510.pdf (Letter: 2E) • Speed: 1:1 matching 4,500 per second per processor core (Intel >2.6GHz) • Template size: between 1-2KB • Memory for the program: >50MB Technical support during integration of SDK • Email, phone support from the UK headoffice • Field support provided by Anaxee Technologies

  22. Methods for license activation on server (during testing & benchmarking). • Licence key and online or offline activation Licensing Model • Per node lock licence or enrolled users

  23. Interoperability with various sensors (optical/capacitive/multispectral etc.). • Support all sensors providing images in all major formats such as raw, png, jpeg, gif, bmp, wsq Interoperability with various extractors (client side) • Any MINEX compatible extractors Compatibility with various devices • Support any device in X86 architecture with Windows / Linux OS

  24. Support for Iris • Can be supplied through our partner Smartsensor Ltd if required Sample code for JAVA functions related to Verification, Identification, extractor, Quality test, segmentation. • Currently supports only C++, .NET, but JAVA interface can be supplied if required Support for various image formats in the ISO FIR during feature extraction. • Support raw, wsq, png, jpeg, bmp, gif

  25. Compliance to various standards. • Minex (ANSI/NIST 378)  Compatable, ISO 19794-4   Scaling requirements for 1 Million authentications per hour. • On an Intel based (>2.6GHz) dual core machine,  • assuming template extraction for prob images are performed at client side, • WW matching SDK can handle >32 million authentication (1:1) requests. 

  26. Summary • New innovative technical approach – accurate, fast and highly scalable. • Top tier AFIS accuracy performance -benchmarked by NPL and NIST • Market leading matching accuracy of low quality fingerprints. • Technology complementary to other conventional image processing approaches

  27. Thank You • UK • Li Wang • CEO, Warwick Warp • India Partners • Anaxee Technologies Pvt. Ltd. • Mobile: +91-96300 20005 • Email: govind@anaxeetech.com • Web: www.anaxeetech.com • Contact Person: Govind Agrawal

More Related