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Numeral characters and capital letters segmentation recognition in mixed handwriting context

机译:混合手写上下文中的数字字符和大写字母分割识别

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For the analytic on-line recognition of handwriting, the range of pattern recognition problems can be described by the severity of letter segmentation required. More difficult problems require an interaction of letter segmentation and recognition. These problems include overlapping discretely written characters, pure cursive writing, and mixed cursive and discrete writing. To these problems concerning the letter segmentation, the word segmentation problems is added. Since a script can contain numbers, capital letters as well as lowercase letters, it is necessary to have a system able to recognize them. This paper describes an on-line system for identifying and recognizing numeral characters and capital letters in handwriting sentences. This system provides two segmentation modules: the first one is to isolate the word drawings within a sentence, and the other one is to separate numeral characters and capital letters from a mixed writing prior to their recognition.
机译:对于手写的分析在线识别,图案识别问题的范围可以通过所需的字母分割严重性来描述。更困难的问题需要字母分割和识别的交互作用。这些问题包括重叠的离散书写字符,纯草书书写以及混合的草书书写和离散书写。对于与字母分割有关的这些问题,添加了单词分割问题。由于脚本可以包含数字,大写字母以及小写字母,因此必须有一个能够识别它们的系统。本文介绍了一种在线系统,用于识别和识别手写句子中的数字字符和大写字母。该系统提供了两个分割模块:第一个用于隔离句子中的单词图,另一个用于在识别之前将数字字符和大写字母与混合文字分开。

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