Abstract
Automatic personal identification system by extracting minutiae points from the thinned fingerprint image is one of the popular methods in a biometric system based on fingerprint. Due to various structural deformations, extracted minutiae points from a skeletonized fingerprint image may contain a large number of false minutiae points. This largely affects the overall matching performance of the system. The solution is to validate the minutiae points extracted and to select only true minutiae points for the subsequent matching process. This paper proposes several pre- and post-processing techniques which are used to enhance the fingerprint skeleton image by detecting and canceling the false minutiae points in the fingerprint image. The proposed method is tested on FVC2002 standard dataset and the experimental results show that the proposed techniques can remove false minutiae points.
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Zacharias, G.C., Nair, M.S., Sojan Lal, P. (2017). Pre- and Post-fingerprint Skeleton Enhancement for Minutiae Extraction. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-2104-6_41
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DOI: https://doi.org/10.1007/978-981-10-2104-6_41
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