Non Minitia Fingerprint Recognition based on Segmentation
Ramachandra A C1, K B Raja2, Venugopal K R3, L M Patnaik4
1Ramachandra A C, Department of Electronics and Communication, Alpha College of Engineering, Bangalore, India.
2K B Raja, Department of Electronics and Communication, University Visveswaraya College of Engineering, Bangalore, Karnataka, India.
3Venugopal K R, Principal, University Visveswaraya College of Engineering, Bangalore, India. L M Patnaik, Honorary professor, Indian Institute of Science, Bangalore, India.
Manuscript received on July 01, 2012. | Revised Manuscript received on July 05, 2012. | Manuscript published on July 10, 2012. | PP: 162-167 | Volume-1, Issue-2, July 2012. | Retrieval Number: B0172071212/2012©BEIESP
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© The Authors. 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: The biometric identification of a person has an advantage over traditional technique. Widely used biometric is Fingerprint to identify and authenticate a person. In this paper we propose Non Minutia Fingerprint Recognition based on Segmentation (NMFRS) algorithm. The variance of each block is determined by segmenting the finger print into 8*8 blocks. Area of Interest (AOI) is obtained by removing the blocks with minimum variance. Features of Finger Print is obtained by applying Discrete Cosine Transform (DCT) on AOI and converted to major and minor non-overlapping blocks to determine variance. The percentage recognition rate is better in the proposed algorithm compared to the existing algorithms.
Keywords: Biometrics, DCT, Fingerprint, Percentage Recognition Rate, Ridge Spatial Frequency.