Personal Authentication using Multimodel Fusion
Tina. S1, R. Medona Selin2, K. John Peter3

1Tina. S, Computer Science, VINS Christians College, Nagercoil, India,
Asst. Prof. Mrs. R. Medona Selin, Computer Science, VINS ChristiansCollege, Nagercoil, India,
Asst. Prof. Mr. K. John Peter, Computer Science, VINS ChristiansCollege, Nagercoil, India,
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 258-262 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0768062312 /2012©BEIESP
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Abstract: It is a Biometric used to authenticate a person, Fingerprint and Palmprint which is unique and permanent throughout a person’s life. A minutia matching is mostly used for fingerprint recognition, and can be classified as ridge ending and ridge bifurcation. Palmprint matching is a challenging problem because latent prints large number of minutiae in full prints, and the presence of many creases in latents and full prints. A match score estimate using the local ridge direction and frequency in palmprints developed a highly robust algorithm. This facilitates the extraction of ridge and minutiae features even in poor quality palmprints. . In this paper Fingerprint Recognition using Minutia Score Matching method. Distinctive information around each minutia is captured using a fixed-length minutia descriptor, Minutia Code andalignment-based minutiae matching algorithm is used to match two palmprints. In this paper person Verification based on fusion of Minutia Score Matching method for fingerprint and alignment-based minutiae matching algorithm for palmprints is presented.

Keywords: Fingerprint Recognition, Binarization, Matching score and Minutia.