Fingerprint Recognition

Abstract

Abstract Fingerprint identification is one of the most popular and reliable personal biometric identification methods. This paper describes an is to characterize the fingerprint using Matlab 2010 program and is working on reading fingerprint then being on a set of processes to derive characteristics, (converting the image to the gray level and then to binary image and then process, one conformation processes where to find internal and external borders of the image (fingerprint) and filtered edges and find minutiae. fingerprint properties, which include the forest and the endings are segmenting the image into blocks 3 * 3 and extraction of whether these blocks contain end or fork and stored the coordinates of these characteristics in the two-dimensional matrix to coordinate the x and coordinate y and delete the undesirable characteristics and determine its direction because (it is likely that the match imprint in the coordinates of the fingerprint Although fingerprint different in terms of imprint direction) and then compare them with a database include a range of Fingerprint characteristics were extracted in the same way to recognition the existence or non-existence within this group .