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Journal of Information Science and Engineering, Vol. 30 No. 4, pp. 1321-1338 (September 2014)


Restoration of Degraded Historical Document Image: An Adaptive Multilayer-Information Binarization Technique


KRISDA KHANKASIKAM
Department of Applied Science, Faculty of Science and Technology
Nakhon Sawan Rajabhat University
Nakhon Sawan, 60000 Thailand
E-mail: KrisdaK@gmail.com

Binary image is the essential format for document image processing, and the operation of the subsequent steps depends on the quality of the binarization process. The objective of this research is to propose a new binarization method based on adaptive multilayer- information for restoration of degraded historical document images. This paper focuses on degraded Thai historical document images, which are in the form of handwritten and machine-printed documents images. The proposed method consists of five stages including noise elimination, majority pixel analysis, degradation of the background layer estimation, thresholding and vicinity analysis. The experiments are performed on 480 degraded Thai historical document images provided by National Library of Thailand. The experimental results demonstrate that the proposed method performs better than five well-known adaptive binarization methods.

Keywords: binarization technique, adaptive thresholding, document image restoration, degraded Thai historical document, ground truth

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Received August 20, 2013; revised January 9 & March 11, 2014; accepted April 11, 2014.
Communicated by Chu-Song Chen.
* This work was supported by Nakhon Sawan Rajabhat University under grant which is given by Research and Development Institute.