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

1Tina. S, Computer Science, VINS Christians College, Nagercoil, India,
2
Asst. Prof. Mrs. R. Medona Selin, Computer Science, VINS ChristiansCollege, Nagercoil, India,
3
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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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.