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System Authentication using Hybrid
Features of Fingerprint
Shekhar R Suralkar (1), Pradeep M. Patil (2), and Faiyaz B. Sheikh (2) (1) SSBT’s COE, Jalgaon (India), (2) VIT, Pune (India)
System authentication based on explicit detection of complete ridge structures in the fingerprint is difficult to extract automatically. Local ridge structures can not be completely characterized by minutiae. Further, a minutia based matching has difficulty in quickly matching two fingerprint images containing different number of unregistered minutiae points. The proposed matching algorithm uses both minutiae (point) information and texture (region) information. The algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length finger code. The fingerprint matching is achieved with the help of Euclidean distance between the query and template images and hence is extremely fast. Results obtained with the proposed scheme shows that a combination of minutiae and texture based score matching (local as well as global) information leads to a substantial improvement in the overall matching performance even at low resolutions. Keywords: Authentication, Minutiae, core point, Tessellate region of interest, Gabor features, Sectors, finger code.
BibTex: @ARTICLE{P1150614001, AUTHOR = {Shekhar R Suralkar and Pradeep
M. Patil and Faiyaz B. Sheikh},
TITLE = {System authentication using hybrid features of fingerprint}, JOURNAL = {ICGST International Journal on Graphics, Vision and Image Processing}, YEAR = {2006}, VOLUME={06}, ISSUE = {1} } ( |
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