Fingerprint Registration by Maximization of Mutual Information

Lifeng Liu 1 Tianzi Jiang 1, 2 Jianwei Yang 1 Chaozhe Zhu 1
1 LIAMA - Brain imaging
2 NLPR - National Laboratory of Pattern Recognition [Beijing]
Abstract : Fingerprint registration is a critical step in fingerprint matching. Although a variety of registration alignment algorithms have been proposed, accurate fingerprint registration remains an unresolved problem. We propose a new algorithm for fingerprint registration using orientation field. This algorithm finds the correct alignment by maximization of mutual information between features extracted from orientation fields of template and input fingerprint images. Orientation field, representing the flow of ridges, is a relatively stable global feature of fingerprint images. This method uses the statistics and distribution of global feature of fingerprint images so that it is robust to image quality and local changes in images. The primary characteristic of this method is that it uses this stable global feature to align fingerprints, and that its behavior may resemble the way humans compare fingerprints. Experimental results show that the occurrence of misalignment is dramatically reduced and that registration accuracy is greatly improved at the same time, leading to enhanced matching performance.
Keywords : Biometrics fingerprints matching minutia mutual information (MI) orientation field registration
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Article dans une revue
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2006, IEEE Transactions on Image Processing, 15 (5), pp.1100-1110. 〈10.1109/TIP.2005.864161〉
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https://hal.inria.fr/inria-00123617
Contributeur : Chine Publications Liama <>
Soumis le : mercredi 10 janvier 2007 - 15:18:06
Dernière modification le : mardi 24 avril 2018 - 13:54:30

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Lifeng Liu, Tianzi Jiang, Jianwei Yang, Chaozhe Zhu. Fingerprint Registration by Maximization of Mutual Information. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2006, IEEE Transactions on Image Processing, 15 (5), pp.1100-1110. 〈10.1109/TIP.2005.864161〉. 〈inria-00123617〉

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