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Proceedings Paper

Rotation-invariant fingerprint identification using circular harmonic expansion
Author(s): Sang-Yi Yi; Chang Myung Ryu; Seung-Hyun Lee; Kwang-Hoon Cha; Young-Min Seo
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Paper Abstract

In this paper, a rotation invariant fingerprint identification system is implemented by using the circular harmonic filter and the binary phase extraction joint transform correlator. We present that this system has the shift and rotation invariant properties and can recognize the fingerprint in real-time. The complex circular harmonic filter which is used to obtain the rotation invariance, is converted into the real-valued filter for real-time implementation. Through computer simulation, we also show that this system has a good performance in the rotated fingerprints.

Paper Details

Date Published: 1 March 1998
PDF: 10 pages
Proc. SPIE 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors, (1 March 1998); doi: 10.1117/12.300059
Show Author Affiliations
Sang-Yi Yi, Electronics and Telecommunications Research Institute (South Korea)
Chang Myung Ryu, Kwangwoon Univ. (South Korea)
Seung-Hyun Lee, Kwangwoon Univ. (South Korea)
Kwang-Hoon Cha, DataSecure Co. (South Korea)
Young-Min Seo, DataSecure Co. (South Korea)

Published in SPIE Proceedings Vol. 3240:
26th AIPR Workshop: Exploiting New Image Sources and Sensors
J. Michael Selander, Editor(s)

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