Josphineleela, R. and Ramakrishnan, M. and Gunasekaran, , (2009) A new enhancement of fingerprint classification for the damaged fingerprint with adaptive features. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur.

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Abstract

In this paper, we propose an new enhancement of the classification for damaged fingerprint database.It is based on the fact that damaged fingerprint image is composed of regular texture regions that can be successfully represents by co-occurrence matrices.So, we first extract the features based on certain characteristics and then we use these features to train a neural network for classifying fingerprints into five classes.The obtained results compared with existing approaches demonstrate the superior performance of our new enhancement.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN 978-983--44150-2-0 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords:	Fingerprint classification, damaged fingerprint, Texture representation, enhancement, and neural network
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	02 Apr 2015 02:30
Last Modified:	02 Apr 2015 02:30
URI:	https://repo.uum.edu.my/id/eprint/13533

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