A Novel Technique for Face Recognition through Gabor Ordinal (original) (raw)

2015

Abstract

Biometrics is a readily available metric that is playing a vital role in face recognition. There are many domain areas for the features extraction such as frequency measures, geometrical measures and statistical measures. In the proposed Face Recognition System (FRS)the extraction of features are done using frequency and statistics measures. The FFT,DCT, variation, standard deviation, mean, median and entropy are the five features extracted from the ORL dataset for recognition process. A local normalization technique is applied to the extracted features. The training and testing are performed with normalized features using Back PropagationNeural Network (BPNN).

Valli Bhasha hasn't uploaded this paper.

Let Valli know you want this paper to be uploaded.

Ask for this paper to be uploaded.