A Novel Binarization System for Degraded Document Images

A novel binarization system for degraded document images is proposed in this paper. It combines two local adaptive binarization methods (Niblack method (1986) and improved Palumbo method(1986)) which are complementary to each other. Niblack thresholding algorithm behaves very well in character areas...

Full description

Saved in:
Bibliographic Details
Main Authors: Yan Xi, Youbin Chen, Qingmin Liao, Leung Winghong, Fung Shunming, Deng Jiangwen
Format: Conference Proceeding
Language:English
Subjects:
Application specific integrated circuits
Assembly systems
Automation
Background noise
Character recognition
Degradation
Eyes
Gray-scale
Humans
Image recognition
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A novel binarization system for degraded document images is proposed in this paper. It combines two local adaptive binarization methods (Niblack method (1986) and improved Palumbo method(1986)) which are complementary to each other. Niblack thresholding algorithm behaves very well in character areas but causes a lot of noise in background areas while the improved Palumbo thresholding algorithm causes little background noise but sometimes it over-thresholds the characters. The proposed system which combines both Niblack thresholding and Palumbo thresholding takes advantages of these two methods. Experiments show that it performs very well with little background noise and can be used to binarize degraded document images in many application circumstances.
ISSN:1520-5363
2379-2140
DOI:10.1109/ICDAR.2007.4378720