Subscription or Fee Access
Face Recognition Algorithm using LBPWT features
In this paper we proposea novel face recognition algorithm using the Local Binary Pattern Histogram Wavelet Features (LBPWT) a new image descriptor computed from discrete wavelet transforms of Local Binary Pattern histograms. The proposed features are computed over partitioned non overlapping blocks of the image. Besides being rotation invariant these features retain the discriminative nature of LBP histograms. For face recognition we fuse the proposed LBPWT features of the partitioned image blocks with the LBPWT features of the canny edge detected image. Experiments have shown that performance of the proposed algorithm based on LBPWT is much better than earlier versions of non invariant LBP, rotation invariant LBP and LBPHF features used in face recognition. For all the experiments we have considered only a single image for training since in most practical scenarios limited images are available for the training database. We have shown that even with a single training image the proposed algorithm provides
Face Recognition,LBP,Wavelet Transform,Pattern Recognition,Texture Classification
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.