J4 ›› 2015, Vol. 42 ›› Issue (3): 186-191.doi: 10.3969/j.issn.1001-2400.2015.03.031

• Original Articles • Previous Articles     Next Articles

Facial expression recognition based on the binary code of edges

FENG Xiaoyi1;LAI Yangming1;WANG Wenxing2;CUI Shaoxing3;PENG Jinye3;JIANG Xiaoyu1   

  1. (1. School of Electronics and Information, Northwestern Polytechnical Univ., Xi'an  710129, China;
    2. AVIC Aeronautical  Science and Technology Key Lab. of Flight Simulation, CFTE, Xi'an  710089, China;
    3. School of Information Science and Technology, Northwest Univ., Xi'an  710127, China)
  • Received:2014-01-13 Online:2015-06-20 Published:2015-07-27
  • Contact: FENG Xiaoyi E-mail:fengxiao@nwpu.edu.cn


Facial expression recognition mainly involves face locating, feature extraction, and expression classification. However, extracting effective features of facial expressions from original face images is a vital step for improving facial expression recognition. In this paper, a binary code of edge method is proposed for extracting the expression feature, which is used for facial expression recognition. Firstly, the face image is processed by an edge detection operator. Then, the proposed binary code method is applied to describe the edge binary image as the expression feature. Finally, the SVM classifier is used for facial expression recognition. Experiments are performed on JAFFE facial expression database, and the results show that the proposed method achieves a higher recognition rate than the traditional method.

Key words: facial expression recognition, feature extraction, binary images, edge detection

CLC Number: 

  • TP391