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Text Line Extraction Using DMLP Classifiers for Historical Manuscripts
2013 12th International Conference on Document Analysis and Recognition, 2013This paper proposes a novel text line extraction method for historical documents. The method works in two steps. In the first step, layout analysis is performed to recognize the physical structure of a given document using a classification technique, more precisely the pixels of a coloured document image are classified into five classes: text-block ...
Micheal Baechler +2 more
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An Adaptive Script-Independent Block-Based Text Line Extraction
2010 20th International Conference on Pattern Recognition, 2010In this paper, a novel script-independent block-based text line extraction technique is proposed for multi-skewed document images. Three parameters are defined to adopt the method with various writings. Extensive experiments on different datasets demonstrate that the proposed algorithm outperforms previous ...
Majid Ziaratban, Karim Faez
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Skew correction and line extraction in binarized printed text images
2015 IEEE International Conference on Image Processing (ICIP), 2015Skew correction and text line extraction are essential steps for optical character recognition (OCR) applications. For this purpose, numerous approaches were developed, which conduct the analysis primarily in document images. However, they often suffer from limited detection range and application-specific parameter tuning.
Wei Li 0052 +2 more
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Multioriented and Curved Text Lines Extraction From Indian Documents
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004There are printed artistic documents where text lines of a single page may not be parallel to each other. These text lines may have different orientations or the text lines may be curved shapes. For the optical character recognition (OCR) of these documents, we need to extract such lines properly.
Umapada Pal 0001, Partha Pratim Roy 0001
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Text-Line Extraction Using a Convolution of Isotropic Gaussian Filter with a Set of Line Filters
2011 International Conference on Document Analysis and Recognition, 2011Text-line extraction is a key task in document analysis. Methods based on an isotropic Gaussian filtering and ridge detection have shown good results. This paper describes performance improvements to these technique based on the use of a convolution of isotropic Gaussian filter with line filters. These new filter banks are motivated by a matched filter
Syed Saqib Bukhari +2 more
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Skew Correction and Text Line Extraction of Arabic Historical Documents
2019The field of optical character recognition for the Arabic text is not getting much attention by researchers comparing to Latin text. It is only in the last two decades that this field was being exploited, due to the complexity of Arabic writing and the fact that it demands a critical step which is segmentation; first from text to lines, then from lines
Abdelhay Zoizou +2 more
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Neural text line extraction in historical documents
2018Accessibility of the valuable cultural heritage which is hidden in countless scanned historical documents is the motivation for the presented dissertation. The developed (fully automatic) text line extraction methodology combines state-of-the-art machine learning techniques and modern image processing methods.
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A Robust Scheme for Extraction of Text Lines from Handwritten Documents
2016Considering the vast collection of handwritten documents in various archives, research studies for their automatic processing have major impact in the society. Line segmentation from images of such documents is a crucial step. The problem is more difficult for documents of major Indian scripts such as Bangla because a large number of its characters ...
Barun Biswas +2 more
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Distance transform based text-line extraction from unconstrained handwritten document images
Expert Systems With Applications, 2021Suman Kumar Bera +2 more
exaly
Text-line extraction from handwritten document images using GAN
Expert Systems With Applications, 2020Suman Kumar Bera +2 more
exaly