Comparing background elimination approaches for processing of ancient Thai manuscipts on palm leaves

2010 Third International Conference on Knowledge Discovery and Data Mining

2010

Abstract-A number of binarization techniques have been proposed in the past for automatic document processing. Although some studies have aimed to evaluate the performance of binarization algorithms, there is no automatic system that is capable of selecting the most appropriate method of binarization. While preprocessing techniques can be applied, binarization is essential to extract the objects in the first place before the characters can be separated for recognition. Although there are several commonly used binarization approaches, there is no single algorithm that is suitable for all images. Hence, there is a need to determine the optimal binarization algorithm for each image. The objective of this paper is to present a survey of the existing methods of binarization and evaluation measurement which have been developed recently. This will lead to the proposal and development of an approach for automatic selection of binarization techniques in handling historical document images.

Section: ) Object Attribute-based Methodsmentioning

confidence: 99%

“…The pixels are separated into two classes: foreground and background. This can be expressed as follows [1] …”

Section: Binarization Techniquesmentioning

confidence: 99%

“…A threshold value (Thr(x,y)) can be derived for each pixel in the image, and the image can be separated into foreground and background as given in expression (2) [1].…”

Section: Binarization Techniquesmentioning

confidence: 99%

“…Several binarization algorithms have been proposed in [1][2][3][4][5][6][7][8][9][10]. However, it is difficult to select the most appropriate algorithm.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Evaluation of Optimal Binarization Technique for Character Segmentation in Historical Manuscripts

2010 Third International Conference on Knowledge Discovery and Data Mining

2010

“…Several binarization algorithms have been proposed in the literature [4][5][6][7][8][9][10][11][12][13]. However, it is difficult to select the optimal algorithm.…”

Section: Introductionmentioning

confidence: 99%

Optimal selection of binarization techniques for the processing of ancient palm leaf manuscripts

2010 IEEE International Conference on Systems, Man and Cybernetics

2010

Self Cite

Abstract-Ancient palm leaf manuscripts in Thailand have been preserved by many organizations for the protection and retrieval of traditional knowledge. With advanced computer technology, digitized media is now commonly used to record these documents. One objective of such work is to develop an efficient image processing system that could be used to retrieve knowledge and information automatically from these manuscripts.Binarization is an important stage during preprocessing of the manuscripts for subsequent extraction of text and characters.The output is then used for further processes such as character recognition and knowledge extraction. However, there is no single binarization technique that is suitable for all documents. This study aims to improve the binarization process intelligently by applying machine learning techniques to classify the optimal selection of binarization techniques of palm leaf manuscripts.Experiments results are reported and this technique could be applied for automatic selection of binarization techniques in other image processing problems.

Comparing Binarisation Techniques for the Processing of Ancient Manuscripts

IFIP Advances in Information and Communication Technology

Wong

2010

Self Cite

International audienceAncient manuscripts have been preserved by many organizations so as to protect these documents and retrieve traditional knowledge. With the advanced computer technology, digitized media is now commonly used to record these documents. One objective of such work is to develop an efficient image processing system that could be used to retrieve knowledge and information automatically from these ancient manuscripts. Binarization is a preprocessing technique used to extract text and characters from the manuscripts. The output is then used for further processes such as character recognition and knowledge extraction. This paper compares different binarization techniques that could be used for processing of ancient manuscripts. The aim is to improve the binarization techniques with the main objective of developing an automated preprocessing technique for ancient manuscript recognition and knowledge extraction