Lexicon reduction using key characters in cursive handwritten words

被引：18
|
作者：
Zimmermann, M [1 ]
Mao, JC
机构：
[1] Univ Bern, Inst Comp Sci & Appl Math, CH-3012 Bern, Switzerland
[2] IBM, Almaden Res Ctr, San Jose, CA 95120 USA
来源：
PATTERN RECOGNITION LETTERS | 1999年 / 20卷 / 11-13期
关键词：
cursive script recognition; lexicon reduction; key characters; geometric constraints; length estimation;
D O I：
10.1016/S0167-8655(99)00099-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The concept of key characters in a cursively handwritten word image is introduced and a method for extracting the key characters is presented. Key characters capture the unambiguous parts of the cursive words that can be reliably segmented and recognized. We propose a method for lexicon reduction using key characters in conjunction with a word-length estimation. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1297 / 1304
页数：8
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