700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ ReadersThis Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Research Article Open Access
In This paper presents a efficient texture based recognition on multi scale local binary pattern (LBP) texture features .It’s a simple and fast for implementation, To extract useful representative features, “uniform” LBP was proposed and its effectiveness has been evaluated. However, all “non-uniform” patterns are grouped into one pattern, so a lot of useful information is lost. In this study, propose to build a modified multiscale LBP histogram for a palmprint image. The palmprint image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a image descriptor. The useful information of “non-uniform” patterns at large scale is dug out from its counterpart of small scale; the performance of the proposed method is that it can be fully utilize LBP features. Other applications and several extensions are also discussed
To read the full article Peer-reviewed Article PDF
Author(s): Udhayakumar.M,Gayathri.S, Mary jeya priya.V, Thiyagu.M
Facial image representation, local binary pattern, multiscale, component based face recognition, texture features, face misalignment, Aerospace Engineering,Applied Electronics,Applied Sciences,Biomedical Engineering,Botany,Fluid Dynamics.