Master'sOpen Access

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

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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