Local fingerprint image reconstruction based on gabor filtering

Somayeh Bakhtiari; Sos S. Agaian; Mo Jamshidi

doi:10.1117/12.918384

3 May 2012 Local fingerprint image reconstruction based on gabor filtering

Somayeh Bakhtiari, Sos S. Agaian, Mo Jamshidi

Proceedings Volume 8406, Mobile Multimedia/Image Processing, Security, and Applications 2012; 840602 (2012) https://doi.org/10.1117/12.918384
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Somayeh Bakhtiari, Sos S. Agaian, and Mo Jamshidi "Local fingerprint image reconstruction based on gabor filtering", Proc. SPIE 8406, Mobile Multimedia/Image Processing, Security, and Applications 2012, 840602 (3 May 2012); https://doi.org/10.1117/12.918384

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