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Proceedings Paper

A face recognition embedded system
Author(s): Kwok Ho Pun; Yiu Sang Moon; Chi Chiu Tsang; Chun Tak Chow; Siu Man Chan
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Paper Abstract

This paper presents an experimental study of the implementation of a face recognition system in embedded systems. To investigate the feasibility and practicality of real time face recognition on such systems, a door access control system based on face recognition is built. Due to the limited computation power of embedded device, a semi-automatic scheme for face detection and eye location is proposed to solve these computationally hard problems. It is found that to achieve real time performance, optimization of the core face recognition module is needed. As a result, extensive profiling is done to pinpoint the execution hotspots in the system and optimization are carried out. After careful precision analysis, all slow floating point calculations are replaced with their fixed-point versions. Experimental results show that real time performance can be achieved without significant loss in recognition accuracy.

Paper Details

Date Published: 28 March 2005
PDF: 8 pages
Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); doi: 10.1117/12.603566
Show Author Affiliations
Kwok Ho Pun, Chinese Univ. of Hong Kong (Hong Kong China)
Yiu Sang Moon, Chinese Univ. of Hong Kong (Hong Kong China)
Chi Chiu Tsang, Chinese Univ. of Hong Kong (Hong Kong China)
Chun Tak Chow, Chinese Univ. of Hong Kong (Hong Kong China)
Siu Man Chan, Chinese Univ. of Hong Kong (Hong Kong China)


Published in SPIE Proceedings Vol. 5779:
Biometric Technology for Human Identification II
Anil K. Jain; Nalini K. Ratha, Editor(s)

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