文章基本信息

标题：Face Recognition by SVM Using Local Binary Patterns
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作者：Ab Waheed Lone ; Syed Sarver Hussain ; Mohd Abdul Ahad 等
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2017
卷号：9
期号：05
页码：222-226
出版社：Engg Journals Publications
摘要：Authentication of the objects of interest plays a vital role and applicability in security sensitive environments .With Pattern recognition to classify patterns based on prior knowledge or on statistical information extracted from the patterns provides various solutions for recognizing and authenticating the identity of objects or persons. Identifying faces/objects of interest requires to take samples for training the classifier and classifying the input probe images with better recognition rate depending on the classification features. Facial recognition accuracy decreases when illumination of image is changed and with Single Sample per Person, where only one training sample is available does not give best matching results. In this paper, we present a model which works by taking different sample images and extracting Local Binary patterns, constructing the normalized histograms for training the SVM classifier and then classifying input probe images using Binary and Multiclass Support Vector Machines...
关键词：Normalized histograms; SVM Classifier; Feature Extraction; and Local Binary Pattern