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...

詳細記述

書誌詳細
第一著者: Suryanti, Awang
フォーマット: 学位論文
言語:英語
出版事項: 2015
主題:
オンライン・アクセス:https://umpir.ump.edu.my/id/eprint/16629/16/Feature%20fusion%20using%20a%20modified%20genetic%20algorithm%20for%20face%20and%20signature%20recognition%20system.pdf
https://umpir.ump.edu.my/id/eprint/16629/
Abstract Abstract here