Embedded Fingerprint Verification Algorithm Using Various Local Information 


Vol. 30,  No. 4, pp. 215-222, Apr.  2005


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  Abstract

In this paper, we propose a fingerprint verification algorithm for the embedded system based on the minutia extracted using the image quality, the minutia structure, and the frequency and the orientation of ridges. After the pre- and the post-processing, the true minutia are selected, thus it shows high reliability in the fingerprint verification. In matching process, we consider the errors caused by shift, rotation, and pressure when acquiring the fingerprint image and reduce the matching time by applying a local matching instead of a full matching to select the reference pair. The proposed algorithm has been designed and verified in Arm920T environment and various techniques for the realtime process have been applied. Time taken from the fingerprint registration through out the matching is 0.541 second that is relevant for the realtime applications. The FRR (False Reject Rate) and FAR (False Accept Rate) show 0.079 and 0.00005 respectively.

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  Cite this article

[IEEE Style]

T. g. Park and S. k. Jung, "Embedded Fingerprint Verification Algorithm Using Various Local Information," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 4, pp. 215-222, 2005. DOI: .

[ACM Style]

Tea geun Park and Sun kyung Jung. 2005. Embedded Fingerprint Verification Algorithm Using Various Local Information. The Journal of Korean Institute of Communications and Information Sciences, 30, 4, (2005), 215-222. DOI: .

[KICS Style]

Tea geun Park and Sun kyung Jung, "Embedded Fingerprint Verification Algorithm Using Various Local Information," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 4, pp. 215-222, 4. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880