A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Filters
Robust text and drawing segmentation algorithm for historical documents
2013
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing - HIP '13
Preserved Fulltext
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. ...
We present a method to segment historical document images into regions of different content.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. ...
FI 1494/3-2, the Ministry of Science and Technology of Israel, the Council of Higher Education of Israel, the Lynn and William Frankel Center for Computer Sciences and by the Paul Ivanier Center for Robotics ...
doi:10.1145/2501115.2501117
dblp:conf/icdar/CohenAKED13
fatcat:7q3mhoqtfrfwld4vqjqdqpsq34
Layout Analysis for Arabic Historical Document Images Using Machine Learning
2012
2012 International Conference on Frontiers in Handwriting Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Simple and discriminative features are extracted in a connected-component level and subsequently robust feature vectors are generated. ...
We introduce an approach that segments text appearing in page margins (a.k.a side-notes text) from manuscripts with complex layout format. ...
FI 1494/3-1 and the Lynn and William Frankel Center for Computer Science at Ben-Gurion University of the Negev. ...
doi:10.1109/icfhr.2012.227
dblp:conf/icfhr/BukhariBAE12
fatcat:npw7po3mjrad7cg62bti736uzq
A TaLISMAN: Automatic Text and LIne Segmentation of historical MANuscripts
[article]
2014
Eurographics Workshop on Graphics and Cultural Heritage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present a completely automatic algorithm to perform a robust text segmentation of old handwritten manuscripts on a per-book basis, and we show how to exploit this outcome to find two ...
layout elements, i.e., text blocks and text lines. ...
Efficient algorithms exist to cope with modern machineprinted documents or historical documents from the handpress period, and to solve the traditional problems of layout analysis, such as document classification ...
doi:10.2312/gch.20141302
fatcat:bzzmqmaafncp7nw4phy3nipbby
Illustrations Segmentation in Digitized Documents Using Local Correlation Features
2014
Procedia Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper we propose an approach for Document Layout Analysis based on local correlation features. ...
The proposal has been demonstrated to be effective on historical datasets and to outperform the state-of-the-art in presence of challenging documents with a large variety of pictorial elements. ...
The XY cut is a well known recursive algorithm for top-down page segmentation. ...
doi:10.1016/j.procs.2014.10.014
fatcat:32xydpox4je5nemm2hsngpaihi
Extraction of Homogeneous Regions in Historical Document Images
2015
Proceedings of the 10th International Conference on Computer Vision Theory and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Indeed, determining graphic regions can help to segment and analyze the graphical part in historical heritage, while finding text zones can be used as a pre-processing stage for character recognition, ...
Thus, we propose in this article an automatic segmentation method for historical document images based on extraction of homogeneous or similar content regions. ...
Figure 3 (b)) and the other represents the foreground (e.g. noise, text fields, drawings, etc.) (cf. Figure 3 (c)). ...
doi:10.5220/0005265500470054
dblp:conf/visapp/MehriHSGAM15
fatcat:z4dhhtjvuzfj5hiukasqi5nelu
Using Scale-Space Anisotropic Smoothing for Text Line Extraction in Historical Documents
[chapter]
2014
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Text line extraction is vital pre-requisite for various document processing tasks. ...
The final stage of the algorithm is based on an energy minimization framework for removing spurious text line and assigning connected components to lines. ...
FI 1494/3-2, the Ministry of Science and Technology of Israel, the Council of Higher Education of Israel, the Lynn and William Frankel Center for Computer Sciences and by the Paul Ivanier Center for Robotics ...
doi:10.1007/978-3-319-11758-4_38
fatcat:g7zcn7cfdfhq3i3twuozuuwkum
A Path Planning for Line Segmentation of Handwritten Documents
2014
2014 14th International Conference on Frontiers in Handwriting Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This paper describes the use of a novel A * pathplanning algorithm for performing line segmentation of handwritten documents. ...
We have performed experiments on the Saint Gall and Monk line segmentation (MLS) datasets. ...
Such a technique takes into account the diversity of document images, texts, images, mixtures of texts and images, line drawings, and noisy or degraded document images. Bulacu et al. ...
doi:10.1109/icfhr.2014.37
dblp:conf/icfhr/SurintaHKOSW14
fatcat:3u3o7kibifgjxdfn4pmrznmgni
Text segmentation in degraded historical document images
2016
Egyptian Informatics Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present a new method for segmenting text and non-text in Indus documents based on the fact that text components are less cursive compared to non-text ones. ...
Text segmentation from degraded Historical Indus script images helps Optical Character Recognizer (OCR) to achieve good recognition rates for Hindus scripts; however, it is challenging due to complex background ...
Omar and Lu [4] proposed an algorithm to extract text lines from historical document images using Steerable Directional filters. ...
doi:10.1016/j.eij.2015.11.003
fatcat:sbc7ftyihvewtbdoy3lqdsz5ai
Evolution Maps for Connected Components in Text Documents
2012
2012 International Conference on Frontiers in Handwriting Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
For highly degraded text documents, common tasks such as binarization and line extraction, remain difficult tasks. ...
We use these maps to provide a robust algorithm for extracting information about character dimensions in degraded documents, and demonstrate improvement in binarization results using this information. ...
Paul Ivanier Center for Robotics and Production Management at Ben-Gurion University, Israel. ...
doi:10.1109/icfhr.2012.201
dblp:conf/icfhr/BillerKDE12
fatcat:7w4nknua75ce3a4ai4rouuwoo4
Handwritten document image segmentation into text lines and words
2010
Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
Two novel approaches to extract text lines and words from handwritten document are presented. ...
The line segmentation algorithm is based on locating the optimal succession of text and gap areas within vertical zones by applying Viterbi algorithm. ...
Acknowledgment The authors would like to thank for the support by the Greek Secretariat for Research and Technology under the program PENED-03/251. ...
doi:10.1016/j.patcog.2009.05.007
fatcat:2weprb5frnaubiixvi6dulu3pe
Robustness Assessment of Texture Features for the Segmentation of Ancient Documents
2014
2014 11th IAPR International Workshop on Document Analysis Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
For the segmentation of ancient digitized document images, it has been shown that texture feature analysis is a consistent choice for meeting the need to segment a page layout under significant and various ...
This study shows the robustness of texture feature extraction for segmentation in the case of noise and the uselessness of a denoising step. ...
[11] propose to separate drawings from background and noise of historical documents by using spatial and color features of superpixels. Liu et al. ...
doi:10.1109/das.2014.22
dblp:conf/das/MehriKMHGMM14
fatcat:itg2xllne5cmnbo5jzr7ng6ote
Historical Document Processing: Historical Document Processing: A Survey of Techniques, Tools, and Trends
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Historical Document Processing is the process of digitizing written material from the past for future use by historians and other scholars. ...
This paper surveys the major phases of, standard algorithms, tools, and datasets in the field of Historical Document Processing, discusses the results of a literature review, and finally suggests directions ...
and text-line segmentation. ...
arXiv:2002.06300v2
fatcat:nxufntuk7famfph6ownyuys2py
3D models over the centuries: From old floor plans to 3D representation
2014
2014 International Conference on 3D Imaging (IC3D)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper presents a set of algorithms dedicated to the 3D modeling of historical buildings from a collection of old architecture plans, including floor plans, elevations and cutoffs. ...
We compute height informations and add textures to the model by analyzing the elevation images from the same collection of documents. ...
These results show that our algorithms are robust enough to be used on various data sources. ...
doi:10.1109/ic3d.2014.7032583
dblp:conf/ic3d/RiedingerJT14
fatcat:q6tomykqyvhbvabte4x5pbyoje
Learning Texture Features for Enhancement and Segmentation of Historical Document Images
2015
Proceedings of the 3rd International Workshop on Historical Document Imaging and Processing - HIP '15
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
EXPERIMENTS We have experimentally evaluated the proposed ancient document enhancement and segmentation algorithm on 100 pages of ancient documents. ...
The experimental corpus is selected for historical document layout analysis and historical book recognition competitions in the context of ICDAR conference and HIP workshop. ...
doi:10.1145/2809544.2809545
dblp:conf/icdar/MehriNHGM15
fatcat:nuztk7z7m5eqjeb7yoxk3r7qni
HAH manuscripts: A holistic paradigm for classifying and retrieving historical Arabic handwritten documents
2009
Expert systems with applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper presents a novel holistic technique for classifying and retrieving Arabic handwritten text documents. The retrieval of Arabic handwritten documents is performed in several steps. ...
First, the Arabic handwritten document images are segmented into words, and then each word is segmented into its connected parts. ...
For the document to line segmentation, the problem is easy and thus our algorithm can easily detect the line borders. ...
doi:10.1016/j.eswa.2009.02.024
fatcat:wyyleohskjbpdndurdxavibyja
« Previous
Showing results 1 — 15 out of 10,304 results