Fingerprint image segmentation by energy of gaussian-hermite moments

Authors:
Lin Wang;Mo Dai;Guohua Geng
Affiliations:
Institute EGID-Bordeaux 3, University of Michel de Montaigne – Bordeaux 3, Pessac cedex, France;Institute EGID-Bordeaux 3, University of Michel de Montaigne – Bordeaux 3, Pessac cedex, France;Visualization Technology Institute, Northwest University, Xi'an, China
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

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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 In order to further improve the segmentation result, morphology is applied as postprocessing to removing small areas and filling small interior holes Experimental results show that the use of Gaussian-Hermite moments makes a significant improvement in fingerprint image segmentation performance.