A robust and efficient algorithm for eye detection on gray intensity face

Authors:
Kun Peng;Liming Chen;Su Ruan;Georgy Kukharev
Affiliations:
Département MI, Ecole centrale de Lyon, Laboratoire d'InfoRmatique en Images et Systems d'information (LIRIS), Ecully, France;Département MI, Ecole centrale de Lyon, Laboratoire d'InfoRmatique en Images et Systems d'information (LIRIS), Ecully, France;Département GE & II, IUT de Troyes, Equipe Image, CReSTIC, Troyes, France;Faculty of Computer Science and Information Technology, Technical University of Szczecin, Szczecin, Poland
Venue:
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

This paper presents a robust and efficient eye detection algorithm for gray intensity images. The idea of our method is to combine the respective advantages of two existing techniques, feature based method and template based method, and to overcome their shortcomings. Firstly, after the location of face region is detected, a feature based method will be used to detect two rough regions of both eyes on the face. Then an accurate detection of iris centers will be continued by applying a template based method in these two rough regions. Results of experiments to the faces without spectacles show that the proposed approach is not only robust but also quite efficient.