Paper
28 March 2005 A face recognition embedded system
Kwok Ho Pun, Yiu Sang Moon, Chi Chiu Tsang, Chun Tak Chow, Siu Man Chan
Author Affiliations +
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kwok Ho Pun, Yiu Sang Moon, Chi Chiu Tsang, Chun Tak Chow, and Siu Man Chan "A face recognition embedded system", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); https://doi.org/10.1117/12.603566
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Facial recognition systems

Principal component analysis

Embedded systems

Control systems

Databases

Detection and tracking algorithms

Eye

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