Enhanced Postprocessing Algorithm for Minutia Extraction Using Various Information in Fingerprint 


Vol. 29,  No. 3, pp. 359-367, Mar.  2004


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  Abstract

The postprocessing to remove false minutia is important because the extraction of true minutia affects the performance as a key factor in fingerprint identification system. In this paper, we propose an efficient postprocessing algorithm for removing false minutia among the extracted candidates in a thinned image. The proposed algorithm removes false minutia in three steps by using various information in the acquired fingerprint image: the structural information of minutia (end point and bifurcation), the inherent characteristics of fingerprint, and the quality of acquired images. Under Intel Celeron processor environment with 248 x 292 images acquired by optic device, the experiments showed that the proposed algorithm efficiently removed false minutia while preserving true minutia. Moreover, the proposed algorithm takes 0.0154 second, which is very small compared to the time for preprocessing (0.343 second).

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  Cite this article

[IEEE Style]

T. Park and S. Jung, "Enhanced Postprocessing Algorithm for Minutia Extraction Using Various Information in Fingerprint," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 3, pp. 359-367, 2004. DOI: .

[ACM Style]

Teageun Park and Sunkyung Jung. 2004. Enhanced Postprocessing Algorithm for Minutia Extraction Using Various Information in Fingerprint. The Journal of Korean Institute of Communications and Information Sciences, 29, 3, (2004), 359-367. DOI: .

[KICS Style]

Teageun Park and Sunkyung Jung, "Enhanced Postprocessing Algorithm for Minutia Extraction Using Various Information in Fingerprint," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 3, pp. 359-367, 3. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880