期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2017
卷号：8
期号：1
页码：71-75
语种：English
出版社：Ayushmaan Technologies
摘要：The paper contains a detailed review of Handwritten Character Recognition using Neural Network in Matlab. There has been sufficient research done in this field but it still remains an open research problem as handwriting styles vary of each and every individual. Achieving the character recognition accuracy rate to the best extent possible is the major challenge, which will eventually lead to the decrease in manual paper work. The paper describes the various phases of character recognition and compares the differed accuracy rate achieved using different methodologies by various researchers. The purpose is to develop Handwriting Character Recognition Software with a higher accuracy rate reducing its space and time complexities; making it optimal. A new diagonal based feature extraction method has been implemented in several papers that generates better accuracy rate compared to the traditional methods of feature extraction.
关键词：Handwritten Character Recognition;Neural Networks;Image Processing;Feature Extraction;Optical Character Recognition; OCR
