A real-time, parallel face recognition on task-level pipelined multicomputer

Author

Lee, Choong Hwan ; Kim, Jun Sung ; Jung, Yeong Ki ; Park, Kyu Ho

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea

Volume

3

fYear

1995

Firstpage

2289

Abstract

This paper proposes an efficient face recognition scheme for getting real-time performance. The scheme is characterized by color-based facial region detection and normalized template matching for face identification. For real-time recognition, the authors also implemented a task-level pipelined multicomputer system (RV860-PIPE) on which the proposed face recognition algorithm is implemented. In the experiments with realistic face images, the proposed system shows that the 95% confidence interval for recognition rate ranges from 91%~97% typically with 1 frame/sec throughput

Keywords

face recognition; image colour analysis; image recognition; image segmentation; pipeline processing; real-time systems; 95% confidence interval; RV860-PIPE; color-based facial region detection; face identification; normalized template matching; real-time parallel face recognition; realistic face images; recognition rate; task-level pipelined multicomputer; Eyes; Face detection; Face recognition; Humans; Image recognition; Laboratories; Lips; Neural networks; Real time systems; Throughput;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.538122

Filename

538122