Abstract
In recent years there has been exponential growth in the use of biometrics for user authentication applications. Automated Fingerprint Identification systems have become popular tool in many security and law enforcement applications. Most of these systems rely on minutiae (ridge ending and bifurcation) features. With the advancement in sensor technology, high resolution fingerprint images (1000 dpi) provide micro level of features (pores) that have proven to be useful features for identification. In this paper, we propose a new strategy for fingerprint matching based on pores by reliably extracting the pore features The extraction of pores is done by Marker Controlled Watershed segmentation method and the centroids of each pore are considered as feature vectors for matching of two fingerprint images. Experimental results shows that the proposed method has better performance with lower false rates and higher accuracy.
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