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Text line extraction for historical document images

Raid Saabni, Abedelkadir Asi, Jihad El-Sana
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6r4znskbk5h2ngu345slqsm6eu" style="color: black;">Pattern Recognition Letters</a> </i> &nbsp;
Document image segmentation into text lines is a major prerequisite procedure for various document image analysis tasks, such as word spotting, key-word searching, and text alignment (Asi et al., 2011  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patrec.2013.07.007">doi:10.1016/j.patrec.2013.07.007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hrzv7ujnxza5vp7fvba6jsz4d4">fatcat:hrzv7ujnxza5vp7fvba6jsz4d4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808140527/https://www.cs.bgu.ac.il/~el-sana/publications/pdf/textlineextraction.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a6/89/a6899362cde493d28fe355b5fddfc508a0daf4e4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.patrec.2013.07.007"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Simplifying the reading of historical manuscripts

Abedelkadir Asi, Rafi Cohen, Klara Kedem, Jihad El-Sana
<span title="">2015</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bytixui4szbgzkqzgwf65jphty" style="color: black;">2015 13th International Conference on Document Analysis and Recognition (ICDAR)</a> </i> &nbsp;
Complex document layouts pose prominent challenges for document image understanding algorithms. These layouts impose irregularities on the location of text paragraphs which consequently induces difficulties in reading the text. In this paper we present a robust framework for analyzing historical manuscripts with complex layouts. This framework aims to provide a convenient reading experience for historians through topnotch algorithms for text localization, classification and dewarping. We
more &raquo; ... text into spatially coherent regions and text-lines using texture-based filters and refine this segmentation by exploiting Markov Random Fields (MRFs). A principled technique is presented for dewarping curvy text regions using a non-linear geometric transformation. The framework has been validated using a subset of a publicly available dataset of historical documents and it provided promising results.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdar.2015.7333877">doi:10.1109/icdar.2015.7333877</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdar/AsiCKE15.html">dblp:conf/icdar/AsiCKE15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7ctwlxl54raurpydo36c5sjdce">fatcat:7ctwlxl54raurpydo36c5sjdce</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151204215844/http://www.cs.bgu.ac.il/~abedas/pdfs/icdar_layout_framework.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4a/53/4a53eb30d8135ba22d14f6bc61663c76e88a464c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdar.2015.7333877"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Hierarchical scheme for Arabic text recognition

Abedelkadir Asi, Jihad El-Sana, Volker Margner
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oopdzf3p3ja7rcyffvqrehlu3a" style="color: black;">2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)</a> </i> &nbsp;
The holistic approach for word recognition has become widely accepted in Arabic text recognition research. However, the large search space limits this approach to domains with small vocabularies. In this work, we present a novel approach to generate hierarchical representation for the shapes of Arabic continuous sub-words. The top levels of the hierarchy include the coarse representations of sub-words, and the low levels include the fine representations. The construction of the hierarchy is
more &raquo; ... ormed bottom up; the shapes at each level are simplified and classified to generate the next level. The search for an appropriate match is performed top down; at each level it traverses sub-trees, whose roots have the highest match rate.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/isspa.2012.6310486">doi:10.1109/isspa.2012.6310486</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/isspa/AsiEM12.html">dblp:conf/isspa/AsiEM12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7nfrjo6gorhrxn22yld74xd2ge">fatcat:7nfrjo6gorhrxn22yld74xd2ge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151202013738/http://www.cs.bgu.ac.il/~vml/publications/ArabicTextRecognition.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/af/54/af54e16834a5291dcb65c8d1381a86f2d5b60b41.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/isspa.2012.6310486"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

An End-to-End Dialogue Summarization System for Sales Calls [article]

Abedelkadir Asi, Song Wang, Roy Eisenstadt, Dean Geckt, Yarin Kuper, Yi Mao, Royi Ronen
<span title="2022-04-28">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Summarizing sales calls is a routine task performed manually by salespeople. We present a production system which combines generative models fine-tuned for customer-agent setting, with a human-in-the-loop user experience for an interactive summary curation process. We address challenging aspects of dialogue summarization task in a real-world setting including long input dialogues, content validation, lack of labeled data and quality evaluation. We show how GPT-3 can be leveraged as an offline
more &raquo; ... ta labeler to handle training data scarcity and accommodate privacy constraints in an industrial setting. Experiments show significant improvements by our models in tackling the summarization and content validation tasks on public datasets.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.12951v2">arXiv:2204.12951v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2uq5fonox5gyhjfhhi2xjpabdm">fatcat:2uq5fonox5gyhjfhhi2xjpabdm</a> </span>
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Layout Analysis for Arabic Historical Document Images Using Machine Learning

Syed Saqib Bukhari, Thomas M. Breuel, Abedelkadir Asi, Jihad El-Sana
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/htymowumwvfj5g7qaexx3w2rti" style="color: black;">2012 International Conference on Frontiers in Handwriting Recognition</a> </i> &nbsp;
Page layout analysis is a fundamental step of any document image understanding system. We introduce an approach that segments text appearing in page margins (a.k.a side-notes text) from manuscripts with complex layout format. Simple and discriminative features are extracted in a connected-component level and subsequently robust feature vectors are generated. Multilayer perception classifier is exploited to classify connected components to the relevant class of text. A voting scheme is then
more &raquo; ... ed to refine the resulting segmentation and produce the final classification. In contrast to state-of-the-art segmentation approaches, this method is independent of block segmentation, as well as pixel level analysis. The proposed method has been trained and tested on a dataset that contains a variety of complex side-notes layout formats, achieving a segmentation accuracy of about 95%.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icfhr.2012.227">doi:10.1109/icfhr.2012.227</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icfhr/BukhariBAE12.html">dblp:conf/icfhr/BukhariBAE12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/npw7po3mjrad7cg62bti736uzq">fatcat:npw7po3mjrad7cg62bti736uzq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151204213251/http://www.cs.bgu.ac.il/~vml/publications/side_notes_seg.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f4/64/f464ce328760489189855a62f9944c41a8fc1437.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icfhr.2012.227"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

User-assisted alignment of Arabic historical manuscripts

Abedelkadir Asi, Irina Rabaev, Klara Kedem, Jihad El-Sana
<span title="">2011</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bytixui4szbgzkqzgwf65jphty" style="color: black;">Proceedings of the 2011 Workshop on Historical Document Imaging and Processing - HIP &#39;11</a> </i> &nbsp;
This work aims to simplify the tiresome manual comparison of two similar Arabic historical manuscripts. We developed a system that determines the difference between two manuscripts by comparing their components, while ignoring page breaks and different warping among consecutive rows; i.e., we treat each manuscript as one long row of components. We compare two components (blocks of pixels) by extracting features from the columns of their bounding rectangles. We adopted the edit distance, which
more &raquo; ... computed using dynamic time warping (DTW) on the feature domain, to measure similarity between components. The user selects the region to align in two manuscripts and the system return its alignment with visual clues that indicate the distance between the aligned components. In our current implementation, our system provides good results and requires less interaction for manuscripts at good quality that do not include touching components. We tested our system on different Arabic manuscripts of various qualities and received encouraging results.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2037342.2037347">doi:10.1145/2037342.2037347</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdar/AsiRKE11.html">dblp:conf/icdar/AsiRKE11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/76qkfe3c7vezzolzrrh7ftugzq">fatcat:76qkfe3c7vezzolzrrh7ftugzq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120124160859/http://www.cs.bgu.ac.il/~el-sana/publications/pdf/comparemanuscripts.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/d0/eed00ed749754c51daf7cd427e75d162ba1865fc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2037342.2037347"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Robust text and drawing segmentation algorithm for historical documents

Rafi Cohen, Abedelkadir Asi, Klara Kedem, Jihad El-Sana, Itshak Dinstein
<span title="">2013</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bytixui4szbgzkqzgwf65jphty" style="color: black;">Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing - HIP &#39;13</a> </i> &nbsp;
We present a method to segment historical document images into regions of different content. First, we segment text elements from non-text elements using a binarized version of the document. Then, we refine the segmentation of the non-text regions into drawings, background and noise. At this stage, spatial and color features are exploited to guarantee coherent regions in the final segmentation. Experiments show that the suggested approach achieves better segmentation quality with respect to
more &raquo; ... r methods. We examine the segmentation quality on 252 pages of a historical manuscript, for which the suggested method achieves about 92% and 90% segmentation accuracy of drawings and text elements, respectively.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2501115.2501117">doi:10.1145/2501115.2501117</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdar/CohenAKED13.html">dblp:conf/icdar/CohenAKED13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7q3mhoqtfrfwld4vqjqdqpsq34">fatcat:7q3mhoqtfrfwld4vqjqdqpsq34</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151204214946/http://www.cs.bgu.ac.il/~vml/publications/figure_extraction.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fa/44/fa44972cc1280adfa0dc7f1a6c0c52c5e34461c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2501115.2501117"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Document Writer Analysis with Rejection for Historical Arabic Manuscripts

Daniel Fecker, Abedelkadir Asi, Werner Pantke, Volker Margner, Jihad El-Sana, Tim Fingscheidt
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/htymowumwvfj5g7qaexx3w2rti" style="color: black;">2014 14th International Conference on Frontiers in Handwriting Recognition</a> </i> &nbsp;
Determining the individuality of handwriting in ancient manuscripts is an important aspect of the manuscript analysis process. Automatic identification of writers in historical manuscripts can support historians to gain insights into manuscripts with missing metadata such as writer name, period, and origin. In this paper writer classification and retrieval approaches for multi-page documents in the context of historical manuscripts are presented. The main contribution is a learningbased
more &raquo; ... n strategy which utilizes writer retrieval and support vector machines for rejecting a decision if no corresponding writer can be found for a query manuscript. Experiments using different feature extraction methods demonstrate the abilities of our proposed methods. A dedicated data set based on a publicly available database of historical Arabic manuscripts was used and the experiments show promising results.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icfhr.2014.130">doi:10.1109/icfhr.2014.130</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icfhr/FeckerAPMEF14.html">dblp:conf/icfhr/FeckerAPMEF14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7ussdfgs7rdv7ga7hykypw6jkq">fatcat:7ussdfgs7rdv7ga7hykypw6jkq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200514185826/https://www.cs.bgu.ac.il/~el-sana/publications/pdf/Document%20Writer%20Analysis%20with%20Rejection%20for%20Historical%20Arabic%20Documents.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5a/40/5a4029bdb9be81611444aafddb2f45b08a692d99.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icfhr.2014.130"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Text line segmentation for gray scale historical document images

Abedelkadir Asi, Raid Saabni, Jihad El-Sana
<span title="">2011</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bytixui4szbgzkqzgwf65jphty" style="color: black;">Proceedings of the 2011 Workshop on Historical Document Imaging and Processing - HIP &#39;11</a> </i> &nbsp;
In this paper we present a new approach for text line segmentation that works directly on gray-scale document images. Our algorithm constructs distance transform directly on the gray-scale images, which is used to compute two types of seams: medial seams and separating seams. A medial seam is a chain of pixels that crosses the text area of a text line and a separating seam is a path that passes between two consecutive rows. The medial seam determines a text line and the separating seams define
more &raquo; ... he upper and lower boundaries of the text line. The medial and separating seams propagate according to energy maps, which are defined based on the constructed distance transform. We have performed various experimental results on different datasets and received encouraging results.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2037342.2037362">doi:10.1145/2037342.2037362</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdar/AsiSE11.html">dblp:conf/icdar/AsiSE11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j23z5ohrqvfelkhgcxfphdq2w4">fatcat:j23z5ohrqvfelkhgcxfphdq2w4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120124160939/http://www.cs.bgu.ac.il/~el-sana/publications/pdf/graylineextraction.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/58/c4/58c4737bfeeec55b0d668466cd7c6818541a79ae.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2037342.2037362"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Coarse-to-Fine Approach for Layout Analysis of Ancient Manuscripts

Abedelkadir Asi, Rafi Cohen, Klara Kedem, Jihad El-Sana, Itshak Dinstein
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/htymowumwvfj5g7qaexx3w2rti" style="color: black;">2014 14th International Conference on Frontiers in Handwriting Recognition</a> </i> &nbsp;
Many applications along the manuscript analysis pipeline rely on the accuracy of pre-processing steps. Perfectly detecting the main text area in ancient historical documents is of great importance for these applications. We propose a learning-free approach to detect the main text area in ancient manuscripts. First, we coarsely segment the main text area by using a texture-based filter. Then, we refine the segmentation by formulating the problem as an energy minimization task and achieving the
more &raquo; ... nimum using graph cuts. The energy function is derived from properties of the text components. Spatial coherence of the segmented text regions is explicitly encouraged by the energy function. We evaluate the suggested method on a publicly available dataset of 38 historical document images. Experiments show that the suggested approach outperforms another state-of-the-art page segmentation method in terms of segmentation quality and time performance.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icfhr.2014.31">doi:10.1109/icfhr.2014.31</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icfhr/AsiCKED14.html">dblp:conf/icfhr/AsiCKED14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mt26lnsndvacbgzlohj2da77fi">fatcat:mt26lnsndvacbgzlohj2da77fi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808040106/https://www.cs.bgu.ac.il/~el-sana/publications/pdf/icfhr_2014_main_segmentation.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e2/f2/e2f29cd733c806ba011929c3f6b9804b136a752f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icfhr.2014.31"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

WebGT: An Interactive Web-Based System for Historical Document Ground Truth Generation

Ofer Biller, Abedelkadir Asi, Klara Kedem, Itshak Dinstein
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bytixui4szbgzkqzgwf65jphty" style="color: black;">2013 12th International Conference on Document Analysis and Recognition</a> </i> &nbsp;
We present WebGT, the first web-based system to help users produce ground truth data for document images. This user-friendly software system helps historians and computer scientists collectively annotate historical documents. It supports real time collaboration among remote sites independent of the local operating system and also provides several novel semiautomatic tools that have proven effective for annotating degraded documents.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdar.2013.68">doi:10.1109/icdar.2013.68</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icdar/BillerAKD13.html">dblp:conf/icdar/BillerAKD13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ibf3kpevbch5ntwpf3fxqboje">fatcat:2ibf3kpevbch5ntwpf3fxqboje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151202015331/http://www.cs.bgu.ac.il/~vml/publications/WebGT.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/45/61/4561f481c1360ec9b2919f58837394dfc35b6ceb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icdar.2013.68"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Seam Carving for Text Line Extraction on Color and Grayscale Historical Manuscripts

Nikolaos Arvanitopoulos, Sabine Susstrunk
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/htymowumwvfj5g7qaexx3w2rti" style="color: black;">2014 14th International Conference on Frontiers in Handwriting Recognition</a> </i> &nbsp;
AKNOWLEDGMENTS We thank the author of [4] , Abedelkadir Asi, for providing us results on a sample of Aline and on the smaller subset of their dataset collection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icfhr.2014.127">doi:10.1109/icfhr.2014.127</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icfhr/ArvanitopoulosS14.html">dblp:conf/icfhr/ArvanitopoulosS14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6u34hifinvhzng5cnmljz3uveu">fatcat:6u34hifinvhzng5cnmljz3uveu</a> </span>
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Accurate Fine-grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation [article]

Penghai Zhao, Weilan Wang, Zhengqi Cai, Guowei Zhang, Yuqi Lu
<span title="2021-10-23">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Abedelkadir Asi exploited texture-based filters in combination with Markov Random Fields (MRF) and provided a framework to identify different text regions which obtain promising results on a subset of  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.08164v2">arXiv:2110.08164v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oytnmzkvrfd25ppg23sv4jvsji">fatcat:oytnmzkvrfd25ppg23sv4jvsji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211019111451/https://arxiv.org/pdf/2110.08164v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a3/db/a3db2b92a9bd66de98945ebdedb4bcb627f34f36.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.08164v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Sparse Gradient Optimization and its Applications in Image Processing

Nikolaos Arvanitopoulos Darginis
<span title="2017-09-04">2017</span>
., 2014] , Abedelkadir Asi, for providing us results on a sample of Aline and on the smaller subset of their dataset collection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5075/epfl-thesis-7913">doi:10.5075/epfl-thesis-7913</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lihd357a4nhh7a5j2fmhhe3inm">fatcat:lihd357a4nhh7a5j2fmhhe3inm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190307094233/https://infoscience.epfl.ch/record/230439/files/EPFL_TH7913.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/a3/2da338f92be29d84356886d23a597f82122c521f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5075/epfl-thesis-7913"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>