A Study on an Algorithm for Eliminating False Feature Points


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 4, pp. 899-907, Jul. 1996
10.3745/KIPSTE.1996.3.4.899,   PDF Download:

Abstract

In this paper, we proposed an algorithm to eliminate false feature points to upgrade the system ability using the cross number method. By using the proposal algorithm, it was able to extract feature points exactly and increase the recognition rates. In the experiment, we used 3 groups:the cut, the uncut-partially noised, and uncut completely noised fingerprint to verify our proposal. We then compared the results of the proposed system with those of another system in which false feature points were not eliminated. We have obtained good recognition rates of 97.7%, 97.7%, and 95.0% in the cut, uncut-partially noised, and the uncut-completely noised fingerprints. However, the other system received the results of the cut 60%, the uncut-partially noised 35%, and uncut-partially noised 50% respectively, As a result, we believe that the fingerprint may be recognized after adapting the proposal algorithm.


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Cite this article
[IEEE Style]
J. Y. Kwon and C. J. Ho, "A Study on an Algorithm for Eliminating False Feature Points," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 4, pp. 899-907, 1996. DOI: 10.3745/KIPSTE.1996.3.4.899.

[ACM Style]
Jeong Yang Kwon and Choi Jae Ho. 1996. A Study on an Algorithm for Eliminating False Feature Points. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 4, (1996), 899-907. DOI: 10.3745/KIPSTE.1996.3.4.899.