Performance Analysis of Fingerprint Based Image Enhancement and Minutiae Extraction

Rajneesh Jain, Sheelesh Kr. Sharma, Pankaj Agrawal


Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations and bifurcations. In this work we have propose a method for fingerprint image enhancement. Using histogram equalization over filtering and then minutia are calculated. The   results   achieved   are compared   with   those   obtained   through   some   other methods.  The Results show some improvement in the minutiae extraction in terms of quantity.

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Amengual, J. C., Juan, A., Prez, J. C., Prat, F., Sez, S., and Vilar, J. M. Real-time minutiae extraction in fingerprint images. In Proc. of the 6th Int. Conf. on Image Processing and its Applications (July 1997), pp. 871–875

Mehtre, B. M. Fingerprint image analysis for automatic identification. Machine Vision and Applications 6, 2 (1993), 124–139.

J. Hollingum, “Automated Fingerprint Analysis Offers Fast Verification,” Sensor Review, vol. 12, no. 3, pp. 12-15, 1992

L. Hong, Y. Wan, and A. Jain, “Fingerprint Image Enhancement: Algorithm and Performance Evaluation,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no.8, pp.777-789, 1998



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