An Efficient Thresholding Algorithm for Degraded Document Images Based on Intelligent Block Detection

被引：10

作者：

Chang, Yi-Fan ^{[1
]}

Pai, Yu-Ting ^{[1
]}

Ruan, Shanq-Jang ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei, Taiwan

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6 | 2008年

关键词：

Document image analysis; document image binarization; adaptive thresholding; high speed;

D O I：

10.1109/ICSMC.2008.4811354

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Document image binarization plays an important role in many applications such as optical character recognition, automatic bank check processing, and vehicle license recognition. This paper proposes an efficient binarization algorithm with intelligent block size detection. Based on the image characteristic, the document image is automatically divided into several blocks with various sizes. Then, a threshold surface is constructed to derive the binary image. Experimental results show that the proposed method not only provide promising binarization result, but also low computational cost.

引用

页码：667 / 672

页数：6