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DSP Based Real-Time Human Face Recognition System

The thesis illustrates the development of DSP-based¡§Real-Time Human Face Recognition System¡¨.The principal system consists of three major subsystems.There are Image Acquisition System¡AImage Preprocessing System and human face characteristic extraction .
For experiment,we adopted colored face image with complex background and simulate on PC.We found the characteristic points and characteristic vectors from the face image which is searched from Gene algorithm.Then,we use the recognition system to recognize the face image.Finally we implant it to DSP.
Shown by the experimental result,this system has good recognition
and efficiency.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0704105-160416
Date04 July 2005
CreatorsTseng, Yu-Chan
ContributorsChin-Ching Huang, Chih-Chiang Cheng, Yung-Chun Wu, Tzuen-Lih Chern, I-Chih Kao
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0704105-160416
Rightswithheld, Copyright information available at source archive

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