Volume 9 Number 9 (Sep. 2014)
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JCP 2014 Vol.9(9): 2146-2150 ISSN: 1796-203X
doi: 10.4304/jcp.9.9.2146-2150

A Unified Framework for Degraded Thai Historical Document Image Restoration

Krisda Khankasikam
Nakhon Sawan Rajabhat University, Nakhon Sawan, Thailand

Abstract—Binarization method is the key process to restore degraded historical document image. In this paper, the framework for degraded Thai historical document image restoration is proposed. The proposed framework consists of three stage including image filtering stage, local-based thresholding stage, and cluster analysis stage. Image filtering stage aims to eliminate some noises by using Wiener filter. Local-based thresholding stage aims to calculate the optimal threshold of a local block by using Niblack’s methods. Cluster analysis stage aims to improve the quality of binary image by using Kim’s method. The experiments are implemented by using Matlab and conducted on real degraded Thai historical document image dataset which is provided by Nation Library of Thailand. The experimental results are evaluated by using three widely used indices including precision, recall and f-index. The experimental results show that the proposed framework outperforms four classical binarization methods.

Index Terms—binarization; binary image; document images restoration; degraded Thai historical documents

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Cite: Krisda Khankasikam, "A Unified Framework for Degraded Thai Historical Document Image Restoration," Journal of Computers vol. 9, no. 9, pp. 2146-2150, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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