Fusion of finger-knuckle-print and palmprint for an efficient multi-biometric system of person recognition

Abdallah Meraoumia, Salim Chitroub, Ahmed Bouridane

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

62 Citations (Scopus)

Abstract

Biometric system has been actively emerging in various industries for the past few years, and it is continuing to roll to provide higher security features for access control system. Many types of unimodal biometric systems have been developed. However, these systems are only capable to provide low to middle range of security feature. Thus, for higher security feature, the combination of two or more unimodal biometrics (multiple modalities) is required. In this paper, we propose a multimodal biometric system for person recognition using hand images and by integrating two different modalities palmprint and Finger-Knuckle-Print (FKP). Addressing this problem we propose an efficient matching algorithm based on Phase-Correlation Function (PCF) and using the two biometric modalities the palmprint and the FKP. The two modalities are combined and the fusion is applied at the matching-score level. The experimental results showed that the designed system achieves an excellent recognition rate and provide more security than unimodal biometric-based system.
Original languageEnglish
Title of host publicationProceedings of the 2011 IEEE International Conference on Communications (ICC)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-5
ISBN (Print)978-1612842325
DOIs
Publication statusPublished - 2011

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