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Proceedings Paper

Local fingerprint image reconstruction based on gabor filtering
Author(s): Somayeh Bakhtiari; Sos S. Agaian; Mo Jamshidi
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Paper Abstract

In this paper, we propose two solutions for fingerprint local image reconstruction based on Gabor filtering. Gabor filtering is a popular method for fingerprint image enhancement. However, the reliability of the information in the output image suffers, when the input image has a poor quality. This is the result of the spurious estimates of frequency and orientation by classical approaches, particularly in the scratch regions. In both techniques of this paper, the scratch marks are recognized initially using reliability image which is calculated using the gradient images. The first algorithm is based on an inpainting technique and the second method employs two different kernels for the scratch and the non-scratch parts of the image to calculate the gradient images. The simulation results show that both approaches allow the actual information of the image to be preserved while connecting discontinuities correctly by approximating the orientation matrix more genuinely.

Paper Details

Date Published: 3 May 2012
PDF: 11 pages
Proc. SPIE 8406, Mobile Multimedia/Image Processing, Security, and Applications 2012, 840602 (3 May 2012); doi: 10.1117/12.918384
Show Author Affiliations
Somayeh Bakhtiari, The Univ. of Texas at San Antonio (United States)
Sos S. Agaian, The Univ. of Texas at San Antonio (United States)
Mo Jamshidi, The Univ. of Texas at San Antonio (United States)

Published in SPIE Proceedings Vol. 8406:
Mobile Multimedia/Image Processing, Security, and Applications 2012
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

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