A robust agorithm for eye detection on gray intensity face without spectacles

Authors

  • Kun Peng LIRIS, Département MI, Ecole Centrale de Lyon, 36 avenue Guy de Collongue, Ecully, France
  • Limin Chen LIRIS, Département MI, Ecole Centrale de Lyon, 36 avenue Guy de Collongue, Ecully, France
  • Su Ruan Equipe Image, CReSTIC, Département GE&II, IUT de Troyes, 9 rue de Quebec, 10026 Troyes, France
  • Georgy Kukharev Faculty of Computer Science and Information Technology, Technical University of Szczecin, Zolnierska 49, 71-210 Szczecin, Poland

Keywords:

Eye detection, Face detection, Face recognition, Image processing, Pattern recognition

Abstract

This paper presents a robust 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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References

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Published

2005-10-03

How to Cite

Peng, K., Chen, L., Ruan, S., & Kukharev, G. (2005). A robust agorithm for eye detection on gray intensity face without spectacles. Journal of Computer Science and Technology, 5(03), p. 127–132. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/861

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Section

Original Articles