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An Automatic Algorithm For Human Identification Using Hand X-Ray Images

By Y. Kabbara, A. Shahin, A. Nait-Ali and M. Khalil

Abstract

International audienceIn this work we propose a fully automatic algorithm for human identification using hand X-ray images. More specifically, this approach is appropriate to prevent forgeries in high security level systems. The proposed algorithm consists of three steps, namely: (1) segmentation of phalanges, (2) feature extraction using complex Fourier descriptors, (3) identification based on k-nearest neighbor method. To evaluate the proposed protocol, we have constructed a database containing 32 hand X-ray images, acquired using Apollo EZ X-ray machine from 16 non-pathological adult individuals. Preliminary results show that a 100% identification rate is obtained in some specific conditions

Topics: Segmentation, Hand X-ray, Hidden Biometrics, Fourier Transform, Human Identification, Spoofing, Forgeries, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SCCO.COMP]Cognitive science/Computer science
Publisher: HAL CCSD
Year: 2013
OAI identifier: oai:HAL:hal-01568474v1
Provided by: HAL - UPEC / UPEM
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