Chowdhury, Tarik AhmedSharmeen, Dilruba2010-10-142010-10-1420082008-01ID 06310047http://hdl.handle.net/10361/508Cataloged from PDF version of thesis report.Includes bibliographical references (page 59).This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2008.In this thesis a current technique for fingerprint recognition has been investigated. It includes image preprocessing, feature extraction, post processing and feature match. For each sub-task some methods like- Image enhancement, image binarization, image segmentation and some morphological operations has analyzed. Based on the analysis, an integrated solution for fingerprint recognition is developed for demonstration. The demonstration program has coded using MATLAB 7.1. The performances have shown by experiments conducted upon a variety of fingerprint images. Also, the experiments illustrate the key issues of fingerprint recognition that are consistent with this conversation.59 pagesenBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Computer science and engineeringFingerprint recognition by minutia matchingThesis