Partial face recognition using radial basis function networks

Author

Sato, Kiminori ; Shah, Shishir ; Aggarwal, J.K.

Author_Institution

Fac. of Eng., Kagoshima Univ., Japan

fYear

1998

fDate

14-16 Apr 1998

Firstpage

288

Lastpage

293

Abstract

The paper describes a face recognition system that uses partial face images (for example, eye, nose, and ear images) for input data. The recognition technique is based on using radial basis function (RBF) networks. As compared with using a standard backpropagation (BP) learning algorithm, the RBF networks are far superior for the face recognition task. From the experimental results of face recognition by partial face image data on a database of over 100 persons, we have achieved a recognition accuracy rate of 100% for the recognition of registered persons and a rejection rate of 100% for the rejection of unknown samples

Keywords

face recognition; feedforward neural nets; visual databases; RBF networks; database; face recognition system; input data; learning algorithm; partial face image data; partial face images; partial face recognition; radial basis function networks; recognition accuracy rate; recognition technique; registered persons; rejection rate; standard backpropagation; Face recognition; Radial basis function networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on

Conference_Location

Nara

Print_ISBN

0-8186-8344-9

Type

conf

DOI

10.1109/AFGR.1998.670963

Filename

670963