Integrated wavelet and fourier-mellin invariant feature in fingerprint verification system

T. B.J. Andrew; N. C.L. David

doi:10.1145/982507.982523

Integrated wavelet and fourier-mellin invariant feature in fingerprint verification system

T. B.J. Andrew, N. C.L. David

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

Today, minutiae-based and image-based are the two major approaches for the purpose of fingerprint authentication. Image based approach offers much higher computation efficiency with minimum pre-processing and proves also effective even when the image quality is too low to allow a reliable minutia extraction. However, this approach is vulnerable to shape distortions as well as variation in position, scale and orientation angle. In this paper, a novel method of image based fingerprint matching based on the features extracted from the integrated Wavelet and the Fourier-Mellin Transform (WFMT is proposed. Wavelet transform is used to smooth and preserve the local edges after image decomposition, and hence making the fingerprint images less sensitive to shape distortion whilst Fourier-Mellin transform served to produce a translation, rotation and scale invariant feature. Multiple WFMT features can be used to form a reference invariant feature through the linearity property of Fourier-Mellin Transform and hence reduce the variability of the input fingerprint images. The experiments show the verification accuracy is over 96% and 99% of verification rate is achieved when multiple WFMT features are used.

Original language	English
Title of host publication	Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003
Publisher	Association for Computing Machinery, Inc
Pages	82-88
Number of pages	7
ISBN (Electronic)	1581137796, 9781581137798
DOIs	https://doi.org/10.1145/982507.982523
Publication status	Published - 2003 Nov 8
Event	2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003 - Berkley, United States Duration: 2003 Nov 8 → …

Publication series

Name	Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003

Other

Other	2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003
Country	United States
City	Berkley
Period	03/11/8 → …

Bibliographical note

Publisher Copyright:
Copyright 2003 ACM.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Control and Systems Engineering
Artificial Intelligence
Computer Science Applications
Computational Theory and Mathematics

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Andrew, T. B. J., & David, N. C. L. (2003). Integrated wavelet and fourier-mellin invariant feature in fingerprint verification system. In Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003 (pp. 82-88). (Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003). Association for Computing Machinery, Inc. https://doi.org/10.1145/982507.982523

Andrew, T. B.J. ; David, N. C.L. / Integrated wavelet and fourier-mellin invariant feature in fingerprint verification system. Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003. Association for Computing Machinery, Inc, 2003. pp. 82-88 (Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003).

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abstract = "Today, minutiae-based and image-based are the two major approaches for the purpose of fingerprint authentication. Image based approach offers much higher computation efficiency with minimum pre-processing and proves also effective even when the image quality is too low to allow a reliable minutia extraction. However, this approach is vulnerable to shape distortions as well as variation in position, scale and orientation angle. In this paper, a novel method of image based fingerprint matching based on the features extracted from the integrated Wavelet and the Fourier-Mellin Transform (WFMT is proposed. Wavelet transform is used to smooth and preserve the local edges after image decomposition, and hence making the fingerprint images less sensitive to shape distortion whilst Fourier-Mellin transform served to produce a translation, rotation and scale invariant feature. Multiple WFMT features can be used to form a reference invariant feature through the linearity property of Fourier-Mellin Transform and hence reduce the variability of the input fingerprint images. The experiments show the verification accuracy is over 96% and 99% of verification rate is achieved when multiple WFMT features are used.",

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Andrew, TBJ & David, NCL 2003, Integrated wavelet and fourier-mellin invariant feature in fingerprint verification system. in Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003. Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003, Association for Computing Machinery, Inc, pp. 82-88, 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003, Berkley, United States, 03/11/8. https://doi.org/10.1145/982507.982523

Integrated wavelet and fourier-mellin invariant feature in fingerprint verification system. / Andrew, T. B.J.; David, N. C.L.

Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003. Association for Computing Machinery, Inc, 2003. p. 82-88 (Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Andrew TBJ, David NCL. Integrated wavelet and fourier-mellin invariant feature in fingerprint verification system. In Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003. Association for Computing Machinery, Inc. 2003. p. 82-88. (Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, WBMA 2003). https://doi.org/10.1145/982507.982523

Integrated wavelet and fourier-mellin invariant feature in fingerprint verification system

Abstract

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