Robust least square baseline finding using a branch and bound algorithm

被引:0
|
作者
Breuel, TM [1 ]
机构
[1] Xerox Corp, Palo Alto Res Ctr, Palo Alto, CA 94304 USA
来源
关键词
document analysis; layout analysis; skew detection; page rotation; text line finding; affine transformations;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many document analysis and OCR systems depend on precise identification of page rotation, as well as the reliable identification of text lines. This paper presents a new algorithm to address both problems. It uses a branch-and-bound approach to globally optimal line finding and simultaneously models the baseline and the descender line under a Gaussian error/robust least square model. Results of applying the algorithm to documents in the University of Washington Database 2 are presented.
引用
收藏
页码:20 / 27
页数:8
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