A noise attribute thresholding method for document image binarization

Author

Don, Hon-Son

Author_Institution

Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan

Volume

1

fYear

1995

fDate

14-16 Aug 1995

Firstpage

231

Abstract

A new thresholding method, called Noise Attribute Thresholding method (NAT), for document processing is presented. This method has overcome a difficulty encountered by many conventional global thresholding methods which utilize the image gray level histogram. The difficulty is that some objects of interest in the image do not form prominent peaks in the histogram. The NAT method utilizes the noise attribute features extracted from the image. These features are based on a simple noise model and are independent of the strength of the signals (objects) in the image. Experimental results show that this method is very effective

Keywords

document image processing; feature extraction; noise; NAT method; document image binarization; document processing; feature extraction; global thresholding methods; image gray level histogram; noise attribute features; noise attribute thresholding method; prominent peaks; simple noise model; Character recognition; Feature extraction; Histograms; Image processing; Image segmentation; Network address translation; Noise figure;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-7128-9

Type

conf

DOI

10.1109/ICDAR.1995.598983

Filename

598983