Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12358/25155
Title | Neural network-based minutiae extraction for fingerprint verification system |
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Abstract |
Fingerprint is one of the most important biometrics that has been employed for verification systems. Fingerprint is characterized by two fundamental properties; Easy to acquire, and it is unique for each person. This paper presents minutia extraction method based on Neural Network-based. These features can be used in verification systems. The verification process includes four main phases: image acquisition, preprocessing, feature extraction, and pattern matching. The method is applied on a set of fingerprint images and the results show that the average matching accuracy of fingerprints is 91.6%. |
Type | Journal Article |
Date | 2017 |
Published in | Information Technology (ICIT), 2017 8th International Conference on |
Publisher | IEEE |
Citation | |
Item link | Item Link |
License | ![]() |
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