Rotation-invariant fingerprint identification using circular harmonic expansion

Sang-Yi Yi; Chang Myung Ryu; Seung-Hyun Lee; Kwang-Hoon Cha; Young-Min Seo

doi:10.1117/12.300059

1 March 1998 Rotation-invariant fingerprint identification using circular harmonic expansion

Sang-Yi Yi, Chang Myung Ryu, Seung-Hyun Lee, Kwang-Hoon Cha, Young-Min Seo

Proceedings Volume 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors; (1998) https://doi.org/10.1117/12.300059
Event: 26th AIPR Workshop: Exploiting New Image Sources and Sensors, 1997, Washington, DC, United States

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.

Citation Download Citation

Sang-Yi Yi, Chang Myung Ryu, Seung-Hyun Lee, Kwang-Hoon Cha, and Young-Min Seo "Rotation-invariant fingerprint identification using circular harmonic expansion", Proc. SPIE 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors, (1 March 1998); https://doi.org/10.1117/12.300059

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