Gender and Name Classification Based on Texture, Local Binary Pattern and Probabilistic Neural Network

Alla Mahesh, M.Raja Babu


In different biometric applications, gender recognition from facial images plays an important role in various applications. This paper investigated Weber’s Local Descriptor for gender recognition which is a texture descriptor and performs better than the other similar descriptors but it became complex due to its very construction. Here Neural network concept is introduced for developing an automatic system to classify gender from a facial image. The significant characteristics are allowed to feed as input to the neural network.  The experiments are performed on given database and the accuracy of the system is computed for the better performance .


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