Title :
A Novel Eye Location Algorithm based on Radial Symmetry Transform
Author :
Li Bai ; Shen, Linlin ; Wang, Yan
Author_Institution :
Sch. of Comput. Sci. & IT, Nottingham Univ.
Abstract :
A novel and robust eye location algorithm is proposed in this paper. The algorithm is based on a low level, context free generalized symmetry transform. Once the regions of interest are detected, characteristics of eyes can be used to improve detection results. The algorithm is tested using 1460 face images of the BioID database and 2730 images of the BANCA database. A fully automatic face verification system has also been developed using this eye location algorithm. The system was one of the top performers in the 2004 International Face Verification Competition
Keywords :
face recognition; transforms; automatic face verification system; eye location; face images; radial symmetry transform; Eyes; Face detection; Face recognition; Facial features; Image databases; Image edge detection; Robustness; Support vector machine classification; Support vector machines; Testing;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.136
