Human eyes location using wavelet and neural network

Author

Wang, Yanjiang ; Yuan, Baozong

Author_Institution

Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China

Volume

2

fYear

2000

fDate

2000

Firstpage

1233

Abstract

This paper presents a new method for the detection and localization of human eyes in a color image. First, the face-like regions are located using an evolutionary color clustering algorithm. Then, wavelet decomposition is applied to each region to detect the possible facial features. If the features are distributed like a predefined human face model, the eyes can be located; otherwise, a three-layer BP neural network is used to check if there is an eye in the region. Experimental results show that our method is fast and has a good performance

Keywords

evolutionary computation; face recognition; feature extraction; image colour analysis; image segmentation; multilayer perceptrons; pattern clustering; wavelet transforms; color image; detection; evolutionary color clustering algorithm; face-like regions; facial features; human eyes location; localization; neural network; three-layer BP neural network; wavelet decomposition; Color; Evolutionary computation; Eyes; Face detection; Face recognition; Facial features; Humans; Image segmentation; Low pass filters; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-5747-7

Type

conf

DOI

10.1109/ICOSP.2000.891770

Filename

891770