A connectionist computational method for face recognition

• Autorzy: Pujol F. A. , Mora H. , Girona-Selva J. A.

Identyfikatory

DOI

10.1515/amcs-2016-0032

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

pattern recognition; face recognition; neural network; self organizing map

PL

rozpoznawanie wzorca; rozpoznawanie twarzy; sieć neuronowa; samodzielne organizowanie map

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2016
• Tom: Vol. 26, no. 2
• Strony: 451--465
• Opis fizyczny: Bibliogr. 56 poz., rys., tab.

Twórcy

autor

Pujol F. A.

• Department of Computer Technology, University of Alicante, 03690, San Vicente del Raspeig, Alicante, Spain

autor

Mora H.

• Department of Computer Technology, University of Alicante, 03690, San Vicente del Raspeig, Alicante, Spain

autor

Girona-Selva J. A.

• Department of Computer Technology, University of Alicante, 03690, San Vicente del Raspeig, Alicante, Spain

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.