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Fingerprint recognition by minutia matching

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bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorChowdhury, Tarik Ahmed
dc.contributor.authorSharmeen, Dilruba
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2010-10-14T06:35:43Z
dc.date.available2010-10-14T06:35:43Z
dc.date.copyright2008
dc.date.issued2008-01
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 59).
dc.descriptionThis 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.abstractIn 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.degreeBachelor of Science in Computer Science and Engineering
dc.description.statementofresponsibilityDilruba Sharmeen
dc.format.extent59 pages
dc.identifier.otherID 06310047
dc.identifier.urihttp://hdl.handle.net/10361/508
dc.language.isoen
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.subjectComputer science and engineering
dc.titleFingerprint recognition by minutia matchingen_US
dc.typeThesisen_US

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