Presentation 1997/11/21
A Study on Partial Face Recognition using Radial Basis Function Networks
Kiminori SATO, Yukitoshi TAKAHASHI, Yoji NAGASAWA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This 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 back-propagation (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 athieved a recognition accuracy rate of 100% for the recognition of registered persons and a rejection rate of 100% for the rejection of unknown samples.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) partial face images / Radial Basis Function (RBF) networks / recognition rate / rejection rate
Paper # PRMU97-163
Date of Issue

Conference Information
Committee PRMU
Conference Date 1997/11/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Partial Face Recognition using Radial Basis Function Networks
Sub Title (in English)
Keyword(1) partial face images
Keyword(2) Radial Basis Function (RBF) networks
Keyword(3) recognition rate
Keyword(4) rejection rate
1st Author's Name Kiminori SATO
1st Author's Affiliation Faculty of Engineering, Kagoshima University()
2nd Author's Name Yukitoshi TAKAHASHI
2nd Author's Affiliation Faculty of Engineering, Kagoshima University
3rd Author's Name Yoji NAGASAWA
3rd Author's Affiliation Faculty of Engineering, Kagoshima University
Date 1997/11/21
Paper # PRMU97-163
Volume (vol) vol.97
Number (no) 387
Page pp.pp.-
#Pages 7
Date of Issue