A noise attribute thresholding method for document image binarization

Authors:
Hon-Son Don
Affiliations:
-
Venue:
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Year:
1995

Citing 0
Cited 6

Restoration of Archival Documents Using a Wavelet Technique

IEEE Transactions on Pattern Analysis and Machine Intelligence
Character Extraction from Interfering Background - Analysis of Double-Sided Handwritten Archival Documents

ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Wavelet Applications in Segmentation of Handwriting in Archival Documents

WAA '01 Proceedings of the Second International Conference on Wavelet Analysis and Its Applications
Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Directional Wavelet Approach to Remove Document Image Interference

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Input sensitive thresholding for ancient Hebrew manuscript

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

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.