Description

Abstract:

       In this paper, it provides the unique recognition of face by the use of HMM. It is stand for

Hidden Markov Model. It is a finite set of states, each of which is associated with a (generally

multidimensional) probability distribution. Transitions among the states are governed by a set of

probabilities called transition probabilities. Initially we remove the noise from the original image.

Then we apply the Gamma correction. Gamma correction is, in the simplest cases, defined by the

following power-law expression. It will enhance the color constancy in images. After that we

apply the DOG filtering. Difference of Gaussians is a feature enhancement algorithm that involves

the subtraction of one blurred version of an original image from another, less blurred version of

the original.