Text line segmentation in handwritten documents using Mumford-Shah model

被引：34
|
作者：
Du, Xiaojun [1 ]
Pan, Wumo [1 ]
Bui, Tien D.
机构：
[1] Concordia Univ, Dept Comp Sci & Software Engn, Ctr Pattern Recognit & Machine Intelligence, Montreal, PQ, Canada
来源：
PATTERN RECOGNITION | 2009年 / 42卷 / 12期
关键词：
Text line detection; Handwritten documents; Image segmentation; Mumford-Shah model; IMAGE SEGMENTATION;
D O I：
10.1016/j.patcog.2008.12.021
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Text line segmentation in handwritten documents is an important step in document image processing. We present a new text line segmentation method based on the Mumford-Shah model. The algorithm is script independent. In addition, we use morphing to remove overlaps between neighboring text lines and connect broken ones. Experimental results show the validity of our method. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：3136 / 3145
页数：10
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