Ancient degraded document image binarization based on texture features

Sehad, Abdenour; Chibani, Youcef; Cheriet, Mohamed; Yaddaden, Yacine

doi:10.1109/ispa.2013.6703737

Cited by 11 publications

(6 citation statements)

References 16 publications

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“…high noise, poor contrast, low illuminations, spots and patches, etc) -the images' characteristics are not leveraged. On the other hand, in local thresholding methods, the threshold values are determined locally either pixel by pixel (Kasmin et al, 2017;Niblack, 1985;Sehad et al, 2013) or region by region (Neves and Mello, 2011;Pai et al, 2010;Tung and Wu, 2017). Then, a specified region can have a threshold value that is changed from region to region according to the threshold candidate selection for a given area.…”

Section: Discussionmentioning

confidence: 99%

Statistical Binarization Techniques for Document Image Analysis

Ismail

Abdullah

Fauzi

2018

Journal of Computer Science

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Binarization is an important process in image enhancement and analysis. Currently, numerous binarization techniques have been reported in the literature. These binarization methods produce binary images from color or gray-level images. This article highlights an extensive review on various binarization approaches which are also referred to as thresholding methods. These methods are grouped into seven categories according to the employed features and techniques: histogram shape-based, clusteringbased, entropy-based, object-attribute-based, spatial, local and hybrid methods. Most active binarization researchers exploit several initial information from the source image such as histogram shape, measurement space clustering, entropy, object attributes, spatial correlation and local gray level surface with a special attention to statistical information description features of image used in recent thresholding techniques.

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Section: Discussionmentioning

confidence: 99%

Statistical Binarization Techniques for Document Image Analysis

Ismail

Abdullah

Fauzi

2018

Journal of Computer Science

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“…Secondly, a wide range of typewritten documents continue to last only as carbon copies, etched on an extremely squeaky paper (Japanese paper) possessing a prominent texture. As a result of the machine-driven nature held by the typing process (where there is need to press the key harder in order for the printing to take place on the original and carbon copy), most carbon copies appear blurry [ 18 ]. Issues like repeated use and ageing, tears, stains, rust from paperclips, punch holes, disintegration of parts of documents, and discoloration negatively impact historical typewritten documents.…”

Section: Challenges In Historical Documentsmentioning

confidence: 99%

Degraded Historical Document Binarization: A Review on Issues, Challenges, Techniques, and Future Directions

2019

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In this era of digitization, most hardcopy documents are being transformed into digital formats. In the process of transformation, large quantities of documents are stored and preserved through electronic scanning. These documents are available from various sources such as ancient documentation, old legal records, medical reports, music scores, palm leaf, and reports on security-related issues. In particular, ancient and historical documents are hard to read due to their degradation in terms of low contrast and existence of corrupted artefacts. In recent times, degraded document binarization has been studied widely and several approaches were developed to deal with issues and challenges in document binarization. In this paper, a comprehensive review is conducted on the issues and challenges faced during the image binarization process, followed by insights on various methods used for image binarization. This paper also discusses the advanced methods used for the enhancement of degraded documents that improves the quality of documents during the binarization process. Further discussions are made on the effectiveness and robustness of existing methods, and there is still a scope to develop a hybrid approach that can deal with degraded document binarization more effectively.

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“…The recent pixel is processed focused around the framework of co-event by the scriptor. The texture based technique is tested on the basis of few objects, by making use of DIBCO dataset degraded and badly illuminated color documents and it used a set of old degraded document gave by a library [1].…”

Section: B Image Binarization Using Texture Featuresmentioning

confidence: 99%

A Comprehensive Survey on Binarization of Degraded Document Images

2015

IJSR

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In this digital world of technology, we are interconnected to each other via a soft and strong internet medium. Our Entire data, being in a digital world, is available in the form of soft copies of documents. With this, we can update, store, backup and preserve the soft copies of our documents. This is the case with the latest data, but going towards our old traditional data, which is available only on hard copies of the paper, we come across a lot of problems while preserving such degraded copies of data. Many times the old and ancient traditional documents play a vital role in our day to day life. Most of the papers containing our data get degraded due to lack of attention and improper handling and preservation. Most commonly seen degradation of such papers is interference of the text written on the front and back of the papers. In order to make this interfered front end data separate from rear page data many researchers have been studying and proposing binarization of the degraded document methodology. Here we study and analyze various binarization techniques proposed previously and then propose the new and innovative technique for the same. We create the binarized image of the degraded image through some intermediate steps. Ultimately, the binarized image will be next processed by the post processing module. The final output of entire process will generate a clear and binarized image with foreground text clearly seen without interference.

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Ancient degraded document image binarization based on texture features

Cited by 11 publications

References 16 publications

Statistical Binarization Techniques for Document Image Analysis

Statistical Binarization Techniques for Document Image Analysis

Degraded Historical Document Binarization: A Review on Issues, Challenges, Techniques, and Future Directions

A Comprehensive Survey on Binarization of Degraded Document Images

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