Document Image Binarization Based on NFCM

被引：0

作者：

Tong Li-Jing ^{[1
]}

Chen Kan ^{[1
]}

Zhang Yan ^{[1
]}

Fu Xiao-Ling ^{[1
]}

Duan Jian-Yong ^{[1
]}

机构：

[1] N China Univ Technol, Multimedia Technol Lab, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年

关键词：

binarization; document image; threshold; FCM algorithm;

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：

Document image binarization plays an important role in image segmentation and its effect directly impacts on the quality of the OCR recognition system. However, binarization is difficult for camera-based document images with poor contrast or illumination. In this paper, we propose a binarization algorithm, called NFCM, for camera-based document image. NFCM, a local threshold method, is a combination of Niblack algorithm and FCM (Fuzzy C-Means) algorithm. It is good at not only preserving the character stokes, but also alleviating the ghost artifacts. Comparative experiments show that NFCM can obtain favorable results with respect to the OCR performance.

引用

页码：1769 / 1773

页数：5

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