Performance analysis for multi sensor fingerprint recognition system

  • Authors:
  • Shimon Modi;Stephen Elliott;Hakil Kim

  • Affiliations:
  •  ;Purdue University, West Lafayette IN;INHA University, Incheon, South Korea

  • Venue:
  • ICISS'07 Proceedings of the 3rd international conference on Information systems security
  • Year:
  • 2007

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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.