Improved Face Recognition approach Using ILTP for Low Resolution Images

Abstract

The field of biometrics examines the unique physical or behavioural traits that can be used to determine a person’s identity. Biometric recognition is the automatic recognition of a person based on one or more of these traits. Low resolution is main problem in face recognition that degrades performance of recognition approach In this paper ILTP approach that computes texture features from gray scale images. ILTP approach is used for extraction of face texture features from low resolution images based on DCT and DWT wavelet filter. SVM classifier is used for the matching between the training and testing images. In our work we improved the accuracy for the low resolution images.