“facial Image Recognition Model Implementation with Artificial Neural Networks Using Dimensions Reduction Techniques Pca”

We propose further mechanism to recognition facial images using a hybrid computing of principal component analysis and artificial neural network. Principal component analysis can used to extract in feature from its facial images using dimensional reduction techniques these feature will then be used to recognize in facial image in different environment .the feature of facial images, after converting into binary can be submitted to the input layer of feed forward neural networks. The neural network can trained for these facial features using any supervised learning algorithms. The trained network will be able to recognize facial images, even in adverse environment like incomplete face images, low brightness facial images, the different pose of the facial image, facial expressions recognition and pose invariant recognition etc.