文章基本信息

标题：A Novel Method for Banknote Recognition System
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作者：R. Bhavani ; A. Karthikeyan
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
期号：ICETS
页码：269
出版社：S&S Publications
摘要：The purpose of currency recognition system is to categorize the currencie s accurately . In this wor k, banknotes are recognized using a novel feature extraction technique such as speeded up robust features (SURF) which is a combination of both interest point detector and descriptor . Speeded up robust features are used to extrac t the local image features of an image . The SURF features extracted are both scale and rotation invariant which makes it robust against various i mage transformations . The interest points are detected from the test and the template images follo wed by SURF feature extraction. Then the distance between the SURF descriptors for corresponding matched interest poi nts is calculated and the average distance is taken to find the category of the banknote . The proposed system is evaluated on the dataset and achie ves high recognition rate
关键词：banknote recognition; computer vision;interest points; local image features; speeded up robust;feature