Feature fusion using a modified genetic algorithm for face and signature recognition system

Feature fusion using a modified genetic algorithm for face and signature recognition system

Combination of multi biometrics at feature level fusion is able to give more accurate classification result. This thesis focuses on the development of feature level fusion of bimodal biometrics system for face and dynamic signature recognition system The modalities of biometric are used due to the a...

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Bibliographic Details
Main Author: Suryanti, Awang
Format: Thesis
Language:English
English
English
Published: 2015
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/16629/
http://umpir.ump.edu.my/id/eprint/16629/
http://umpir.ump.edu.my/id/eprint/16629/1/Feature%20fusion%20using%20a%20modified%20genetic%20algorithm%20for%20face%20and%20signature%20recognition%20system-Table%20of%20contents.PDF
http://umpir.ump.edu.my/id/eprint/16629/6/Feature%20fusion%20using%20a%20modified%20genetic%20algorithm%20for%20face%20and%20signature%20recognition%20system-Abstract.PDF
http://umpir.ump.edu.my/id/eprint/16629/11/Feature%20fusion%20using%20a%20modified%20genetic%20algorithm%20for%20face%20and%20signature%20recognition%20system-References.PDF

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