A Robust and Efficient Algorithm for Eye Detection on Gray Intensity Face

Kun Peng 1 Liming Chen 1 S Ruan G Kukharev
1 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01589324
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Monday, September 18, 2017 - 2:32:26 PM
Last modification on : Thursday, November 21, 2019 - 1:42:26 AM

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Kun Peng, Liming Chen, S Ruan, G Kukharev. A Robust and Efficient Algorithm for Eye Detection on Gray Intensity Face. 3rd International Conference on Advances in Pattern Recognition, ICAPR 2005, Aug 2005, Bath, United Kingdom. pp.302-308, ⟨10.1007/11552499_34⟩. ⟨hal-01589324⟩

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