文章基本信息

标题：Feature Extraction Techniques for Handwritten Text in Various Scripts: A Survey
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作者：Vandita Singh ; Bhupendra Kumar ; Tushar Patnaik 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：1
页码：238-241
出版社：International Journal of Soft Computing & Engineering
摘要：Optical Character Recognition (OCR) Systems aim to recognize text and bring it to editable form from the given document image, where the input text can be in machine printed, hand written or hand printed form. Many recognition systems have been developed for languages based on various scripts and digits all over the world, taking input in either of the online and offline modes, with considerable efficiencies. These systems have proved to be highly applicable in the fields of Banking, Education, IT systems and Postal Sector for digitization of processes and automated information retrieval. In this paper, we present a survey of techniques for recognition of handwritten and hand printed documents in off-line mode, with an emphasis on the Feature Extraction phase and the corresponding classification technique has also been mentioned with the recognition rates achieved.
关键词：Optical;Character;Recognition;Feature;Extraction; Classification.