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Fingerprint recognition by minutia matching

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dc.contributor.advisor Chowdhury, Tarik Ahmed
dc.contributor.author Sharmeen, Dilruba
dc.date.accessioned 2010-10-14T06:35:43Z
dc.date.available 2010-10-14T06:35:43Z
dc.date.copyright 2008
dc.date.issued 2008-01
dc.identifier.other ID 06310047
dc.identifier.uri http://hdl.handle.net/10361/508
dc.description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2008. en_US
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 59).
dc.description.abstract 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. en_US
dc.description.statementofresponsibility Dilruba Sharmeen
dc.format.extent 59 pages
dc.language.iso en
dc.publisher BRAC University en_US
dc.rights BRAC 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.
dc.subject Computer science and engineering
dc.title Fingerprint recognition by minutia matching en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University
dc.description.degree B. Computer Science and Engineering


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