An on-line template improvement algorithm

Yilong Yin; Bo Zhao; Xiukun Yang

doi:10.1117/12.603198

28 March 2005 An on-line template improvement algorithm

Yilong Yin, Bo Zhao, Xiukun Yang

Proceedings Volume 5779, Biometric Technology for Human Identification II; (2005) https://doi.org/10.1117/12.603198
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

In automatic fingerprint identification system, incomplete or rigid template may lead to false rejection and false matching. So, how to improve quality of the template, which is called template improvement, is important to automatic fingerprint identify system. In this paper, we propose a template improve algorithm. Based on the case-based method of machine learning and probability theory, we improve the template by deleting pseudo minutia, restoring lost genuine minutia and updating the information of minutia such as positions and directions. And special fingerprint image database is built for this work. Experimental results on this database indicate that our method is effective and quality of fingerprint template is improved evidently. Accordingly, performance of fingerprint matching is also improved stably along with the increase of using time.

Citation Download Citation

Yilong Yin, Bo Zhao, and Xiukun Yang "An on-line template improvement algorithm", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.603198

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KEYWORDS

Databases

Fingerprint recognition

System identification

Probability theory

Feature extraction

Biometrics

Image acquisition

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