Facial feature detection: A facial symmetry approach

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Gulbadan Sikander, Shahzad Anwar, Yasser Abd Djawad

2017 5th International Symposium on Computational and Business Intelligence, ISCBI 2017 Conference paper Cited by 12

Abstract

Nowadays face detection plays an important role in recognition, emotion recognition, computer-human interaction, etc. This paper presents a novel method for the detection of facial features in images. The main objective is to develop a fully automatic facial feature detection system. The method proposed in this paper uses a combination of methods to detect facial features. It first uses the Viola-Jones methods to identify possible regions of interest subsequently use calculations based on the symmetric property of the human face to detect the true facial features. A comparison between the Viola-Jones algorithm and the proposed algorithm has been performed and it shows that our method in combination with Viola-Jones increases the accuracy of detection considerably. © 2017 IEEE.

Affiliations

Institute of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan; Department of Electronics Engineering, State University of Makassar, Indonesia