首页> 外文期刊>Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR >Segmentation of Touching Modifiers and Consonants in Middle Region of Handwritten Hindi Text
【24h】

Segmentation of Touching Modifiers and Consonants in Middle Region of Handwritten Hindi Text

机译:手写印地语文本中间区域的修饰语和辅音的切分

获取原文
获取原文并翻译 | 示例
       

摘要

Character segmentation is a major problem in any text recognition system. The most common problem in the recognition of handwritten text is the presence of touching of left modifier with the consonant in the middle region of the word. In Optical Character Recognition (OCR) system, the recognition rate decreases due to the presence of touching characters. The determination of presence of touching characters is a very tedious task. Based on the structural properties of the text, a new algorithm is proposed to segment left modifier from the consonant in the middle region of the word. The results obtained with the proposed algorithm are very challenging. The problem of over segmentation that occurs in the segmentation of touching left modifier from consonant in the middle region, are also explained.
机译:字符分割是任何文本识别系统中的主要问题。手写文本识别中最常见的问题是单词中间区域的左辅音与辅音的接触。在光学字符识别(OCR)系统中,由于存在触摸字符,因此识别率会降低。确定触摸字符的存在是一项非常繁琐的任务。基于文本的结构特性,提出了一种新的算法,用于从单词中间区域的辅音中分割出左修饰符。用提出的算法获得的结果非常具有挑战性。还说明了在中间区域中从左辅音的接触中切出左修饰符时出现的过度分割问题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号