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ICDAR
2003
IEEE

Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images

9 years 17 days ago
Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images
A number of techniques have previously been proposed for effective thresholding of document images. In this paper two new thresholding techniques are proposed and compared against some existing algorithms. The algorithms were evaluated on four types of ‘difficult’ document images where considerable background noise or variation in contrast and illumination exists. The quality of the thresholding was assessed using the Precision and Recall analysis of the resultant words in the foreground. The conclusion is that no single algorithm works well for all types of image but some work better than others for particular types of images suggesting that improved performance can be obtained by automatic selection or combination of appropriate algorithm(s) for the type of document image under investigation.
Graham Leedham, Yan Chen, Kalyan Takru, Joie Hadi
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ICDAR
Authors Graham Leedham, Yan Chen, Kalyan Takru, Joie Hadi Nata Tan, Li Mian
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