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

Y. Kabbara (1) , A. Shahin , A. A. Nait-Ali (1) , M. Khalil (2)

1 SYNAPSE
2 Centre AZM pour la Recherche en Biotechnologie et ses Applications

In 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.

Mots clés: Hidden Biometrics; Hand X-ray; Segmentation; Fourier Transform; Human Identification; Spoofing; Forgeries

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Informatique

Y. Kabbara, A. Shahin, A. A. Nait-Ali, M. Khalil. An Automatic Algorithm For Human Identification Using Hand X-Ray Images. Proc. Of the 2nd IEEE International Conference on Advances in Biomedical Engineering, ICABME 2013, Sep 2013, Tripoli, Lebanon. pp.167-170. ⟨hal-01568474⟩