<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/13222" mdate="2007-11-28 00:00:00"> <author>Mehran Yazdi and Zahra Adelpour and Batoul Bahraini and Yasaman Keshtkar Jahromi</author> <title>Novel Ridge Orientation Based Approach for Fingerprint Identification Using CoOccurrence Matrix</title> <pages>3414 - 3418</pages> <year>2007</year> <volume>1</volume> <number>11</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/13222</ee> <url>https://publications.waset.org/vol/11</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In this paper we use the property of cooccurrence matrix in finding parallel lines in binary pictures for fingerprint identification. In our proposed algorithm, we reduce the noise by filtering the fingerprint images and then transfer the fingerprint images to binary images using a proper threshold. Next, we divide the binary images into some regions having parallel lines in the same direction. The lines in each region have a specific angle that can be used for comparison. This method is simple, performs the comparison step quickly and has a good resistance in the presence of the noise.</abstract> <index>Open Science Index 11, 2007</index> </article>