文章基本信息

标题：CDRAMM: Character And Digit Recognition Aided by Mathematical Morphology
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作者：Richa Sharma ; Arun Jain ; Ritika Sharma 等
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：5
页码：828-832
出版社：Technopark Publications
摘要：A Character recognition system takes input in the form of scanned images of handwritten, printed or typewritten text and outputs some form of machine editable text. In this work, a set of prominent structural features are extracted to precisely distinguish one character from the other. The classification process makes use of a decision tree classifier where at each node the decision rules are defined by some morphological operations till the final realization is done. The results obtained are prominent and the accuracy of our CR system is on an average 95% for handwritten text and for printed text, it achieves an accuracy of 99%. The recognition is affine transformation invariant with the assumption that individual characters are not overlapping
关键词：CR-Character Recognition; OCR-Optical Character Recognition; IG -Information Gain; IGR-Information Gain Ratio; B-Blob Presence