Image Enhancement using Adaptive and Gaussian Filters, DWT for Face Recognition

Automatic recognition of people is a challenging problem which has received much attention during recent year due to its many application in different fields .Face recognition is one of those challenging problems and up to date. There is no technique that provides a robust solution to all situations. This paper presents a new technique for human face recognition. This technique uses an imagebased approach towards artificial intelligence by removing redundant data form face images through image compression using the two-dimensional discrete cosine transform (2D-DCT It containing five subjects and each subject has 5 images with different facial expressions. the last recognition rate is valued by 81.36% for 10 consecutive trails. Image Enhancement using the Gaussian filters to compress image on any directional, cosine transform is processed by only few type of face reactions are observed. so, to overcome we using the DWT. It observed many type of face reactions. the main advantage of this technique is it is high-speed processing capability and low computational requirements in terms of both speed and memory utilization.