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. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Wang, L., Suo, H., & Dai, M. (2005). Fingerprint image segmentation based on gaussian-hermite moments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3584 LNAI, pp. 446–454). Springer Verlag. https://doi.org/10.1007/11527503_54
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