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학술대회 Fingerprint-Based Authentication for USB Token Systems
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저자
문대성, 길연희, 안도성, 반성범, 정용화, 박치항
발행일
200308
출처
International Workshop on Information Security Applications (WISA) 2003 (LNCS 2908), v.2908, pp.355-364
DOI
https://dx.doi.org/10.1007/978-3-540-24591-9_27
협약과제
03MK1900, 사용자 인증을 위한 생체인식처리 기술, 반성범
초록
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 authentication system using biometrics, the computation of the authentication 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. Then, we describe a fingerprint enrollment algorithm that can check false minutiae detected and true minutiae missed by using multiple impressions. Also, to meet the memory space specification and processing power of the security token in fingerprint verification algorithm, we describe a memory-efficient alignment algorithm. 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 authentication algorithm can be executed in real-time on the developed USB token. © Springer-Verlag 2004.
KSP 제안 키워드
Alignment algorithm, Authentication System, Biometric pattern, Fingerprint Verification, Fingerprint authentication, Flash Memory, Limited resources, Memory space, Personal Identification Numbers, Real-Time, Security Token