A connectionist computational method for face recognition

International Journal of Applied Mathematics and Computer Science

Pujol Francisco A.¹  Mora Higinio¹  Girona-Selva José A.¹ 

[1] Department of Computer Technology University of Alicante, 03690, San Vicente del Raspeig, Alicante, Spain;

关键词: pattern recognition;    face recognition;    neural networks;    self-organizing maps;   

DOI  :  10.1515/amcs-2016-0032

来源: DOAJ

【 摘 要 】

In this work, a modified version of the elastic bunch graph matching (EBGM) algorithm for face recognition is introduced. First, faces are detected by using a fuzzy skin detector based on the RGB color space. Then, the fiducial points for the facial graph are extracted automatically by adjusting a grid of points to the result of an edge detector. After that, the position of the nodes, their relation with their neighbors and their Gabor jets are calculated in order to obtain the feature vector defining each face. A self-organizing map (SOM) framework is shown afterwards. Thus, the calculation of the winning neuron and the recognition process are performed by using a similarity function that takes into account both the geometric and texture information of the facial graph. The set of experiments carried out for our SOM-EBGM method shows the accuracy of our proposal when compared with other state-of the-art methods.

【 授权许可】

Unknown