A Fingerprint Matching Scheme Based on Gradient Difference Compatibility

Preeyakorn Tipwai, Panudech Thipaksorn, Suthep Madarasmi
2007 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing  
This paper proposes a new minutiae-based fingerprint matching algorithm using a variation of the Generalized Hough Transform called MGHT, which allows variations in translation, rotation, scale, and some distortions of the fingerprints, with very low complexity. A simple local structure of the fingerprint is constructed to collect template data from a number of minutiae. The matching process is performed by voting for transformation parameters by using target fingerprint local structure to look
more » ... up similar data in the template. The result with a strong peak in the parameter space is considered as a match. The algorithm is efficient, precise, and robust to noise. The test results on several images demonstrate the effectiveness of this fingerprint matching method.
doi:10.1109/ciisp.2007.369210 fatcat:54swkmhp7bhedgv75mnslcrex4