Human face recognition system using modified PCA algorithm and ARM platform

Chin Shu Chang, Kuo Kuang Chen, Teh Lu Liao, Po Yun Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In the recent two decades, user authentication has become a popular issue of identity management. Fingerprints, DNA and the human face are distinct organism characteristics usually used in user identification. In this paper, the human face is the main subject for authentication. Because the ARM system provides strong computation ability, various interfaces such as camera, mass storage, etc. It was used in this study. The main recognizer algorithm - Principal Component Analysis (PCA) is completely accomplished on the ARM system. Finally, an ARM-based human face recognition platform is implemented in this study.

Original languageEnglish
Title of host publication3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Pages294-297
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010 - Tainan, Taiwan
Duration: 2010 May 52010 May 7

Publication series

Name3CA 2010 - 2010 International Symposium on Computer, Communication, Control and Automation
Volume2

Other

Other2010 International Symposium on Computer, Communication, Control and Automation, 3CA 2010
CountryTaiwan
CityTainan
Period10-05-0510-05-07

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Control and Systems Engineering

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