Abstract Views :87 |
PDF Views:0
Authors
Affiliations
1 Computer Centre, Avinashilingam Deemed University for Women, Tamil Nadu, IN
Source
ICTACT Journal on Image and Video Processing, Vol 1, No 4 (2011), Pagination: 220-223
Abstract
In recent years there has been exponential growth in the use of bio-metrics 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) pro-vide micro level of features (pores) that have proven to be useful fea-tures 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 Wa-tershed segmentation method and the centroids of each pore are con-sidered as feature vectors for matching of two fingerprint images. Experimental results shows that the proposed method has better per-formance with lower false rates and higher accuracy.
Keywords
High Resolution Fingerprint Image, Pore Extraction, Marker Con-trolled Watershed Segmentation, Pore Centroids, Pore Matching.
