A new method based on artificial neural network for fingerprint classification and recognition
2015
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Advisor: Assist. Prof. Dr. Yurıy Alyeksyeyenkov
Abstract (EN)
In this work has been reached a method which is based on features of fingerprints patterns. In work method, fingerprint classification has been processed by using MATLAB software and then compared the result with previous methods. Results have proved the ability of the work method. Secondly it is morphological method so its accuracy is much better than other method. Feature extraction is performed using Co-occurrence matrix. Extracted features of the fingerprints are then classified by employing Artificial Neural Network. Many variants of neurons of these algorithms have been also implemented, wherever it is appropriate.
Author
Omar Najem
Institution
Çankaya University
Bilgi Teknolojileri Bilim Dalı
How to Cite
Omar Najem (Master Thesis). A new method based on artificial neural network for fingerprint classification and recognition, 2015, Çankaya University.
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