A Review of Face Detection and Recognition using Hybrid Approaches

Now a days Image processing field is becoming more popular especially for the security purposes. It has many sub fields and face recognition is one of them. Face is the important part of our body by which it is easy to identify and recognize the person. Whereas face detection is a challenging tasks as there are many issues such as changes in the appearances of faces, variations in poses, noise, and various illumination conditions. In this paper a descriptionfor face detection and recognitionis being given which integrates a principal component analysis (PCA); back propagation neural network (BPNN), discrete cosine transform, linear discriminant algorithm (LDA) etc. to improve the performance of face recognition.