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Orientation Field Reconstruction of Altered Fingerprint Using Orthogonal Wavelets


Affiliations
1 Model Engineering College, India
2 Department of Electronics Engineering, Model Engineering College, India
     

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Ridge orientation field is an important feature for fingerprint matching and fingerprint reconstruction. Matching of the altered fingerprint against its unaltered mates can be done by extracting the available features in the altered fingerprint and using it along with approximated ridge orientation. This paper presents a method for approximating ridge orientation field of altered fingerprints. In the proposed method, sine and cosine of doubled orientation of the fingerprint is decomposed using orthogonal wavelets and reconstructed back using only the approximation coefficients. No prior information about the singular points is needed for orientation approximation. The method is found suitable for orientation estimation of low quality fingerprint images also.

Keywords

Altered Fingerprints, Ridge Orientation, Ridge Texture, Ridge Frequency, Wavelet Transform.
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  • Orientation Field Reconstruction of Altered Fingerprint Using Orthogonal Wavelets

Abstract Views: 261  |  PDF Views: 3

Authors

M. G. Mini
Model Engineering College, India
T. R. Anoop
Department of Electronics Engineering, Model Engineering College, India

Abstract


Ridge orientation field is an important feature for fingerprint matching and fingerprint reconstruction. Matching of the altered fingerprint against its unaltered mates can be done by extracting the available features in the altered fingerprint and using it along with approximated ridge orientation. This paper presents a method for approximating ridge orientation field of altered fingerprints. In the proposed method, sine and cosine of doubled orientation of the fingerprint is decomposed using orthogonal wavelets and reconstructed back using only the approximation coefficients. No prior information about the singular points is needed for orientation approximation. The method is found suitable for orientation estimation of low quality fingerprint images also.

Keywords


Altered Fingerprints, Ridge Orientation, Ridge Texture, Ridge Frequency, Wavelet Transform.