Multi-instance finger vein recognition using minutiae matching

Thian Song Ong, Jackson Horlick Teng, Kalaiarasi Sonai Muthu, Andrew Beng Jin Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Among the various multi-modal biometric approaches, multi-instance biometric appears to be understudied despite it inherits the merits of multimodal biometrics system. Multi-instance biometrics is useful when the signal quality is too low for robust verification. As compared to other multi-modal approach, multi-instance fusion reduces the need of multiple acquisitions using different sensors and thus lessen both transaction time and sensor cost. In this work, we propose a reliable two-stage multi-instance finger vein recognition system based on minutiae matching method by integrating a unified minutia alignment and pruning approach using Genetic algorithm and the k-modified Hausdorff distance (k-MHD) measurement. The proposed method is evaluated by using the SDUMLA-HMT Finger Vein database. Experiments show the proposed method is able to attain promising recognition rate compared to its single biometrics counterpart. The best result is achieved by applying the k-nearest neighbor measurement alongside, where the recognition rate can be up to 99.7% when MHD is used for matching.

Original languageEnglish
Title of host publicationProceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013
Pages1730-1735
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 6th International Congress on Image and Signal Processing, CISP 2013 - Hangzhou, China
Duration: 2013 Dec 162013 Dec 18

Publication series

NameProceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013
Volume3

Other

Other2013 6th International Congress on Image and Signal Processing, CISP 2013
CountryChina
CityHangzhou
Period13/12/1613/12/18

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Ong, T. S., Teng, J. H., Muthu, K. S., & Teoh, A. B. J. (2013). Multi-instance finger vein recognition using minutiae matching. In Proceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013 (pp. 1730-1735). [6743955] (Proceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013; Vol. 3). https://doi.org/10.1109/CISP.2013.6743955