Fingerprint image segmentation based on gaussian-hermite moments

Authors:
Lin Wang;Hongmin Suo;Mo Dai
Affiliations:
Institute EGID-Bordeaux 3, University of Michel de Montaigne - Bordeaux 3, Pessac cedex, France;Department of Mathematics, Guizhou University for Ethnic Minorities, Guiyang, China;Institute EGID-Bordeaux 3, University of Michel de Montaigne - Bordeaux 3, Pessac cedex, France
Venue:
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Year:
2005

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Abstract

An important step in automatic fingerprint recognition systems is the segmentation of fingerprint images. In this paper, we present an adaptive algorithm based on Gaussian-Hermite moments for non-uniform background removing in fingerprint image segmentation. Gaussian-Hermite moments can better separate image features based on different modes. We use Gaussian-Hermite moments of different orders to separate background and foreground of fingerprint image. Experimental results show that the use of Gaussian-Hermite moments makes a significant improvement for the segmentation of fingerprint images.