Knowledge-based baseline detection and optimal thresholding for words segmentation in efficient pre-processing of handwritten arabic text

被引:15
作者
AlKhateeb, Jawad H. [1 ]
Ren, Jinchang [1 ]
Ipson, Stan S. [1 ]
Jiang, Jianmin [1 ]
机构
[1] Univ Bradford, Sch Informat, Bradford BD7 1DP, W Yorkshire, England
来源
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: NEW GENERATIONS | 2008年
关键词
D O I
10.1109/ITNG.2008.71
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Techniques on detecting baseline and segmenting words in handwritten Arabic text are presented in this paper. Instead of using pure projection, knowledge of the location of the baseline is utilized for accurate baseline detection. Then, distances between words and subwords are respectively analyzed, and their statistical distributions are obtained to decide an optimal threshold in segmenting words. Results on IFN/ENIT database have validated our methods in terms of improved baseline detection and words segmentation for further recognition.
引用
收藏
页码:1158 / 1159
页数:2
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