Nur Aina , Zainal (2009) Fingerprint Recognition System. Project Report. UTeM, Melaka,Malaysia. (Submitted)
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Official URL: http://library.utem.edu.my:8000/elmu/index.jsp?mod...
Abstract
Fingerprints are part of human identity. Fingerprints are the most mature biometric; automated method of recognition a person based on physical or behavioral characteristics technology. In this thesis, a neural network in MATLAB was used to train and simulated data of fingerprint. A multi-layer neural network based on the popular feed-forward (FF) algorithm has been used for classification. At the end, all the simulate network will interface with Graphical User Interface for user application.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Biometric identification -- Data processing ,Pattern recognition systems ,Fingerprints -- Identification -- Data processing |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Library > Final Year Project > FKEKK |
Depositing User: | Mohd Syahrizal Mohd Razali |
Date Deposited: | 16 Jul 2012 03:44 |
Last Modified: | 28 May 2015 02:40 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/4249 |
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