期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：1
页码：249-251
出版社：TechScience Publications
摘要：Low level features like color etc. of an image are really very important for any image retrieval system. This paper implements image classification technique using SURF descriptor and SVM classifier. SURF method which is advanced version of SIFT is used to match feature points of training and test images. SVM classifier based on the outcome of feature points then classifies images. Through the experiment and analysis of results better results are achieved in terms of accuracy and matching time
关键词：SVM; SURF; Classifier; Optimal Hyperplane;Penalty term
