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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
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Confidential Overview About us Technology Products & features Performance & evaluations Summary
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Confidential 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.
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Confidential 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
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Confidential 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
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Confidential Products & Features Warwick Warps business is the development and licensing of software technology for biometrics applications.
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Confidential 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%
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Confidential Evaluation and Benchmarks-Civil NPL (National Physical Laboratory, UK) independent benchmark – WW technology equals market leaders. Warwick Warp NPL Benchmark Against Leading AFIS Vendors
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Confidential 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) RankCompanyAVG 1 Cogent0.999375 2 NEC0.998825 3 Warwick Warp0.998775 4 BioKey0.998675 5 Tiger IT0.998625 6 L10.99845 7 Sagem0.998275 8 Motorola0.997875 9 Neurotech0.997875 10 Sonateq0.997775 11 Identix0.997475 12 Thales0.996400 13 Biolink0.993575 14 Eastern Golden Finger0.987725 15 USFIS0.924025
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Confidential 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
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Confidential 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
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Confidential 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
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Confidential 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
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Confidential 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
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Confidential Technology
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Confidential Other Examples
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Confidential Other Examples
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Confidential Other Examples
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Confidential Other Examples
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Confidential 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 Affica 3. Ministry of Defence in the UK 4. Mobile AFIS in CHINA
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Confidential 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) http://biometrics.nist.gov/cs_links/PFT/tables2f_040510.pdf 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
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Confidential 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
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Confidential 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
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Confidential 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
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Confidential 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.
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Confidential 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
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Confidential Thank You India Partners Anaxee Technologies Pvt. Ltd. Mobile: +91-96300 20005 Email: govind@anaxeetech.com Web: www.anaxeetech.com Contact Person: Govind Agrawal UK Li Wang CEO, Warwick Warp
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