Implementation of the USB token system for fingerprint verification

  • Authors:

  • Daesung Moon;Youn Hee Gil;Sung Bum Pan;Yongwha Chung

  • Affiliations:

  • Biometrics Technology Research Team, ETRI, Daejeon, Korea;Biometrics Technology Research Team, ETRI, Daejeon, Korea;Biometrics Technology Research Team, ETRI, Daejeon, Korea;Biometrics Technology Research Team, ETRI, Daejeon, Korea

  • Venue:
  • SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
  • Year:
  • 2003

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Abstract

In the modern electronic world, the authentication of a person is an important task in many areas of day-to-day. Using biometrics to authenticate a person's identity has several advantages over the present practices of Personal Identification Numbers (PINs) and passwords. To gain maximum security in the verification system using biometrics, the computation of the verification as well as the store of the biometric pattern has to take place in the security token (e.g., smart card, USB token). However, there is an open issue of integrating biometrics into the security token because of its limited resources(processing power and memory space). In this paper, we describe our implementation of the USB token system having 206MHz StrongARM CPU, 16MBytes Flash memory, and 1MBytes RAM. Also, we describe a fingerprint verification algorithm that can be executed in the restricted environments. To meet the memory space specification and processing power of the security token, in fingerprint verification algorithm, we develop a data structure, called a multiresolution accumulator array. Based on experimental results, we confirmed that the RAM requirement of the proposed algorithm is about 16 KBytes, and the Equal Error Rate(EER) is 1.7%. Therefore, our fingerprint verification algorithm can be executed in real-time on the developed USB token without degrading accuracy.