Scanned Document Images Skew Correction Based on Shearlet Transform

被引：1

作者：

Zhang, Fan ^{[1
,2
]}

Zhang, Yifan ^{[1
]}

Qu, Xingxing ^{[1
]}

Liu, Bin ^{[1
]}

Zhang, Ruoya ^{[1
]}

机构：

[1] Henan Univ, Sch Comp & Informat Engn, Kaifeng 475001, Peoples R China

[2] Henan Univ, Inst Image Proc & Pattern Recognit, Kaifeng 475001, Peoples R China

来源：

MULTI-DISCIPLINARY TRENDS IN ARTIFICIAL INTELLIGENCE, MIWAI 2015 | 2015年 / 9426卷

关键词：

Shearlet transform; OCR; Skew correction;

D O I：

10.1007/978-3-319-26181-2_21

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

During the documents scanning process, a few degrees of skew is unavoidable. Which will cause some adverse effects on the documents identification, such as Optical Character Recognition (ORC). This paper presents a scanned document images skew estimation and correction algorithm based on Shearlet transform. Shearlet transform offers very good time-frequency localization and direction selectivity. It is possible to detect the skew orientation of the document images accurately. Experimental results show that the proposed algorithm has a high accuracy rate of skew estimation even the scanned document images contain noise or include some pictures or diagrams.

引用

页码：226 / 232

页数：7

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