S M Zamshed Farhan received B.Sc. degree in Computer Science and Engineering from Khulna University of Engineering and Technology, (KUET) Bangladesh in 2003 and Masters in Business Administration in Management from University of Dhaka, Bangladesh in 2009. He started his IT career on 2004 as a Software Engineer on the platform of GNU C at BDCOM Online Limited. Then moved to web technology at BRAC BDMail Network Limited (Currently it is BRACNet) on 2006. On 2010, he joined Information Technology, International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B).
Abstract: Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification system. Because minutiae matching are certainly the most well-known and widely used method for fingerprint matching, minutiae are local discontinuities in the fingerprint pattern. In this paper a fingerprint matching algorithm is proposed using some specific feature of the minutiae points, also the acquired fingerprint image is considered by minimizing its size by generating a corresponding fingerprint template for a large fingerprint database.The results achieved are compared with those obtained through some other methods also shows some improvement in the minutiae detection process in terms of memory and time required.
Notes: S M Mohsen, S M Zamshed Farhan, M M A Hashem, K M Azharul Hasan and Banani Roy, Fingerprint Recognition Using a Feature Selection Technique, proc. 3rd International Conferences on Electrical, Electronics and Computer Engineering (ICEECE 2003), pp 171-176.
