Fingerprint Identification Algorithm using Pixel Direction Factor in Blocks


The KIPS Transactions:PartB , Vol. 12, No. 2, pp. 123-130, Apr. 2005
10.3745/KIPSTB.2005.12.2.123,   PDF Download:

Abstract

In this paper, fingerprint identification algorithm using pixed direction factor in blocks is proposed to minimize false acceptance ratio and to apply security system. The proposed algorithm is that a fingerprint image is divided by 16 blocks, then feature parameters which have direct factors of 0°, 45°, 90°, and 135° is extracted for each block. Membership function of a reference fingerprint and an input fingerprint for the extracted parameters is calculated, then identification of two fingerprint is distributed using fuzzy inference. False acceptance ratio is evaluated about different fingerprints of 100 kinds regardless of sex and shape which are obtained from adults, and false rejection ratio is evaluated about fingerprints which are obtained by adding fingerprints of 10 kinds on different fingerprints of 100 kinds. The experiment results is that false acceptance ratio is average 0.34% about experiment of 4,950 times, and false rejection ratio is average 3.7% about experiment of 1,000 times. The proposed algorithm is excellent for recognition rate and security.


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Cite this article
[IEEE Style]
N. H. Cho and J. S. Lee, "Fingerprint Identification Algorithm using Pixel Direction Factor in Blocks," The KIPS Transactions:PartB , vol. 12, no. 2, pp. 123-130, 2005. DOI: 10.3745/KIPSTB.2005.12.2.123.

[ACM Style]
Nam Hyung Cho and Joo Shin Lee. 2005. Fingerprint Identification Algorithm using Pixel Direction Factor in Blocks. The KIPS Transactions:PartB , 12, 2, (2005), 123-130. DOI: 10.3745/KIPSTB.2005.12.2.123.