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Challenges of broken characters in character segmentation method for Gujarati printed documents

机译:古吉拉特语打印文档的字符分割方法对残破字符的挑战

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Character segmentation is an important step of optical character recognition (OCR) system. The segmentation of broken characters is one of the key factors which affect the performance of recognition system. So it is necessary to make OCR systems more effective and accurate for broken character segmentation. This paper explains the challenges in broken character segmentation method for Guajarati printed documents. Features and limitations of various methods in broken character segmentation are discussed. Different types of broken characters in Guajarati language are explained. Several challenges are explained for Gujarati broken character segmentation which is useful to implement broken character segmentation method.
机译:字符分割是光学字符识别(OCR)系统的重要步骤。断字符的分割是影响识别系统性能的关键因素之一。因此,有必要使OCR系统更有效,更准确地处理破损字符。本文介绍了瓜加拉蒂印刷文档的破字符分割方法所面临的挑战。讨论了残破字符分割中各种方法的特点和局限性。说明了瓜加拉蒂语中不同类型的残破字符。古吉拉特语(Gujarati)残缺字符分割方法说明了几个挑战,对于实现残缺字符分割方法很有用。

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