alexa Abstract | Palmprint Recognition by using Modified LOCAL BINARY PATTERN
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

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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

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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.

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