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Detection and Management Computer System of Digitalized Images of Fingerprints
This article analyzes the different techniques of minutiae extraction to develop a system for the extraction of minutiae in fingerprint digitalized images. After analyzing the different techniques the thinning of the binarized image method of extraction was chosen because of its features and a computer system was built using this technique for performing automatic and manual extraction of characteristic points from the fingerprint images, storing the information in the internal database and also providing statistical calculations, including calculations for cumulative frequency analysis; which is an important parameter for calculating distinction rates. The computer system is also able to differentiate by gender, finger, fingerprint type and sector. With all the information collected of multiple fingerprints in a wide range of individuals was performed a biometric study using as the principal axis the number of ridges crossed from a minutia to the center of the fingerprint.
Automatic minutiae recognition, fingerprints characteristics statistical calculation, minutiae detection, dactylogram, Fingerprint Identication System.
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