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：2013
卷号：2
期号：7
页码：2823
出版社：S&S Publications
摘要：There are several problems in pattern recognition system like feature extraction problem and identification,pre-processing and classification problem etc. One of the application domains in pattern classification is handwrittencharacter or symbolic recognition. Identifying handwritten characters is always a complex and challenging task for theresearchers. Wide research has been done on the character recognition but handwritten mathematical symbolrecognition still remain either untouched or remarkably less research has been done. This is also treated as one of thesubset of character recognition. Hence the new approach for offline handwritten mathematical symbol recognitionsystem is described throughout this paper. Proposed system is identified by comparative study of feature extractiontechniques.For this research, Character Geometry as feature extraction technique and support vector machine as a classifier isproposed. Proposed system can be useful in an embedded as well as mobile application. Also, it can be useful whileconverting pdf documents into word from where mathematical symbols can be correctly identified. So definitely it willbe feasible in long run.
关键词：Symbol recognition; support vector machine; feature extraction; Mathematical symbols.
