DocumentCode
3489720
Title
Eye detection using hybrid rule based approach and contour mapping
Author
Samad, S.A. ; Hussain, A. ; Teoh, A.
Author_Institution
Dept. of Electr., Electron. & Syst. Eng., Universiti Kebangsaan Malaysia, Bangi Selangor, Malaysia
Volume
2
fYear
2001
fDate
2001
Firstpage
631
Abstract
This paper describes an eye detection module that can be used as a part of an automatic face recognition system. It plays an important role in producing normalized face images for the purpose of template matching. An algorithm that employs a rule-based 8×8 mosaic window is combined with the contour map approach to detect the eye pair. Experiments indicate that the algorithm is able to detect the left eye and right eye with high accuracy and can be used to detect the eye positions of subjects wearing spectacles, which is normally difficult to achieve with a simple algorithm due to the light reflection property of the glasses
Keywords
edge detection; eye; face recognition; feature extraction; image matching; knowledge based systems; automatic face recognition system; contour map approach; eye detection module; normalized face images; rule based mosaic window; template matching; Classification algorithms; Eyes; Face detection; Face recognition; Glass; Lighting; Optical reflection; Signal processing; Systems engineering and theory; Windows;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location
Kuala Lumpur
Print_ISBN
0-7803-6703-0
Type
conf
DOI
10.1109/ISSPA.2001.950224
Filename
950224
Link To Document