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Biometric properties of fingerprints. Processing and slap fingerprint segmentation algorithms

DOI 10.18127/j20729472-201803-11


A.G. Grizhebovskaya – Post-graduate Student, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University

The problems of processing images of fingerprints obtained from a biometric scanner are considered. An algorithm has been developed and implemented for finding individual segments of fingerprints for the image of four fingers of the hand or two large fingers. It is shown that this algorithm selects images of individual segments, their coordinates, and the angle of rotation. It is noted that the algorithm uses a two-step analysis method, which allows to improve the accuracy of individual segments, and also uses analysis of geometric characteristics of segments. It is revealed that the algorithm works steadily at large angles of rotation and in the presence of artifacts on the image, such as: fingerprints, contamination. The algorithm was tested on the basis of 1000 images of four fingers and 500 images containing two thumbs.

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