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Knowledge-based English cursive script segmentation

delete2000-09-01
delete27
PRE
AI
X
Xiao, XH
L
Leedham, G *
DOI:10.1016/S0167-8655(00)00049-0delete
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摘要

摘要

En 中文
Knowledge concerning the structure of some prominent English letters, as well as the structural characteristics between background regions and character components is investigated as a novel approach to cursive script segmentation. First, connected components consisting of more than one character are split into sub-components based on their face-up or face-down background regions. Secondly, the over-segmented sub-components are merged into characters according to the knowledge of character structures and their joining characteristics. The algorithm achieved around 80% correct segmentation on a difficult database of unconstrained handwritten words. (C) 2000 Elsevier Science B.V. All rights reserved.
Keyword:
cursive script segmentation
connected components
background regions
forbidden rules
feasible rules
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期刊

Pattern Recognition Letters 封面图
Pattern Recognition Letters
IF:
3.3
论文数:
8.0K
被引数:
1.6W

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