Jamal Kharroubi

Work place: Sidi Mohamed Ben Abdellah University, FSTF, Morocco

E-mail: jamal.kharroubi@usmba.ac.ma


Research Interests: Image Processing, Pattern Recognition


Jamal Kharroubi has his B.Sc. in Computer Science from Sidi Mohamed Ben Abdellah University (FezMorocco) in 1996. Two years after, he got his postgraduate degree from Galilee’s Institute of Paris XIII University in the domain of Artificial Intelligence. He received his Ph.D. in the field of signal and image processing from the Ecole Nationale Superieure des Telecommunications de Paris in 2002. He is a professor at the FST since January 2003. He obtained his HDR in 2008. He has more than thirty of national and international publications covering fields of signal and image processing, pattern recognition, etc

Author Articles
Learning a Backpropagation Neural Network With Error Function Based on Bhattacharyya Distance for Face Recognition

By Naouar Belghini Arsalane Zarghili Jamal Kharroubi Aicha Majda

DOI: https://doi.org/10.5815/ijigsp.2012.08.02, Pub. Date: 8 Aug. 2012

In this paper, a color face recognition system is developed to identify human faces using Back propagation neural network. The architecture we adopt is All-Class-in-One-Network, where all the classes are placed in a single network. To accelerate the learning process we propose the use of Bhattacharyya distance as total error to train the network. In the experimental section we compare how the algorithm converge using the mean square error and the Bhattacharyya distance. Experimental results indicated that the image faces can be recognized by the proposed system effectively and swiftly.

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