Performance Analysis for Multi Sensor Fingerprint Recognition System
The increasing use of distributed authentication architecture has made interoperability of systems an important issue. Interoperability of systems reflects the maturity of the technology and also improves confidence of users in the technology. Biometric s
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Purdue University, West Lafayette IN 47907, USA 2 INHA University, Incheon, South Korea
Abstract. The increasing use of distributed authentication architecture has made interoperability of systems an important issue. Interoperability of systems reflects the maturity of the technology and also improves confidence of users in the technology. Biometric systems are not immune to the concerns of interoperability. Interoperability of fingerprint sensors and its effect on the overall performance of the recognition system is an area of interest with a considerable amount of work directed towards it. This research analyzed effects of interoperability on error rates for fingerprint datasets captured from two optical sensors and a capacitive sensor when using a single commercially available fingerprint matching algorithm. The main aim of this research was to emulate a centralized storage and matching architecture with multiple acquisition stations. Fingerprints were collected from 44 individuals on all three sensors and interoperable False Reject Rates of less than .31% were achieved using two different enrolment strategies.
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Introduction
The landscape of authentication technologies has changed in the last decade. Increased use of information technology in an increasingly networked world has reduced the usefulness of monolithic and centralized authentication architectures. Todays networked world requires distributed authentication architecture which is scalable and takes advantage of various technological advancements. But attempting to mix disparate authentication systems raises the issue of interoperability. The effect of interoperability on the authentication results is an issue which needs to be considered when deploying such authentication systems. There are three main methods of authentication: 1) using something known only to the authorized individual e.g. password 2) using something in possession of only the authorized individual e.g. smartcard 3) using physical or behavioral characteristics of the authorized individual i.e. biometrics. Knowledge based and token based authentication systems do not face the same types of interoperability challenges as biometric systems. This issue is of particular relevance to biometric systems because it is dependent heavily on human interaction and human characteristics. A typical biometric system consists of an acquisition subsystem, a feature extraction subsystem, a storage subsystem, a matching subsystem, and a decision subsystem. A fingerprint recognition system can use fingerprint sensors based on a variety of different technologies such as optical, capacitive, thermal, P. McDaniel and S.K. Gupta (Eds.): ICISS 2007, LNCS 4812, pp. 292–305, 2007. c Springer-Verlag Berlin Heidelberg 2007
Performance Analysis for Multi Sensor Fingerprint Recognition System
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or others. The physics behind these technologies introduces distortions and variations in the captured images which are characteristic of the technology, and since the acquisition subsystem is the first point of contact between
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