Fingerprint - iris fusion based identification system using single hamming distance matcher

Asim Baig, Ahmed Bouridane, Fatih Kurugollu, Gang Qu

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Conventional multimodal biometric identification systems tend to have larger memory footprint, slower processing speeds and a higher implementation and operational cost. In this paper we propose a state of the art framework for multimodal biometric identification system which can be adapted for any type of biometrics to provide smaller memory footprint and faster implementation than the conventional multimodal biometrics systems. The proposed framework is verified by development of a fingerprint and iris based fusion system which utilizes a single Hamming Distance matcher. Extensive testing is performed on the system running in identification mode and the results show that the system not only provides higher accuracy than the individual unimodal system but also the results are comparable to the conventional system.
Original languageEnglish
Pages (from-to)47-57
JournalInternational Journal of Bio-Science and Bio-Technology
Volume1
Issue number1
DOIs
Publication statusPublished - Dec 2009

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