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Paper details
Number 2 - June 2016
Volume 26 - 2016
A connectionist computational method for face recognition
Francisco A. Pujol, Higinio Mora, José A. Girona-Selva
Abstract
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.
Keywords
pattern recognition, face recognition, neural networks, self-organizing maps