A system for recognising human faces

Author

Wong, K.H. ; Law, M. R Hudson H M ; Tsang, P.W.M.

Author_Institution

Dept. of Comput. Sci., Chinese Univ. of Hong Kong, Hong Kong

fYear

1989

Firstpage

1638

Abstract

A human face recognition system, which has a feature extraction subsystem and a recognition subsystem, has been built. An unknown human facial image is captured and digitized by a frame grabber, and features of the digitized image are extracted. The features are stored during the learning phase and are compared with the references in the memory during the recognition phase. A two-test method is used to increase the accuracy of the recognition. The first test eliminates a number of records with large differences in major features. The second test selects the one with minimum differences by calculating the total weighted error. Test results are presented

Keywords

computerised pattern recognition; computerised picture processing; feature extraction subsystem; features extraction; frame grabber; human face recognition system; human facial image; learning phase; memory; picture processing; recognition subsystem; total weighted error; two-test method; Equations; Eyes; Face detection; Face recognition; Feature extraction; Head; Humans; Image edge detection; Nose; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Conference_Location

Glasgow

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1989.266760

Filename

266760