期刊名称:International Journal of Computer Science and Communication Networks
电子版ISSN:2249-5789
出版年度:2013
卷号:3
期号:6
页码:321-335
出版社:Technopark Publications
摘要:Optical character recognition (OCR) refers to a process of generating a character input byoptical means, like scanning, for recognition in subsequent stages by which a printed orhandwritten text can be converted to a form which a computer can understand andmanipulate. A generic character recognition system has different stages like noise removal,skew detection and correction, segmentation, feature extraction and classification. Results ofthe later stages can affect the performance of the subsequent stages in the OCR process. Tomake the results of the subsequent stages more accurate, the skew detection and correctionand segmentation play an important role.A good part of recent progress in readingunconstrained online handwritten text may be described to more insightful handling ofsegmentation.This paper provides a review of these advances. The aim is to provide an appreciationfor the range of techniques that have been developed, rather than to simply listsources