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<!DOCTYPE html>
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<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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<title> Intelligent Historical Document Image Analysis (IHDIA) </title>
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<img class="d-block mx-auto" src="https://i.imgur.com/ESKKlHu.png" />
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<p style="color:blue;" class="text-left">HInDoLA system</p>
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<h4 class="card-title">
<a href="https://ihdia.github.io/indiscapes">Datasets</a>
</h4>
<a href="#"><img class="card-img-top" src="https://i.imgur.com/vZxA3fK.png" alt=""></a>
<p class="card-text">Given the large diversity in language, script and non-textual regional elements in historical Indic manuscripts, spatial layout parsing is crucial in enabling downstream applications such as OCR, word-spotting, style-and-content based retrieval and clustering. We take a significant step to address this gap and introduce Indiscapes, the first dataset with layout annotations for historical Indic manuscripts.</p>
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<a href="https://ihdia.github.io/indiscapes" class="btn btn-primary">Access the dataset</a>
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<h4 class="card-title">
<a href="https://ihdia.iiit.ac.in/Palmira/">Layout Estimation Networks</a>
</h4>
<a href="#"><img class="card-img-top" src="https://i.imgur.com/gPzfdEi.png" alt=""></a>
<p class="card-text">To succeed at layout parsing of manuscripts, we require a system which can accurately localize various types of regions (e.g. text lines, isolated character components, physical degradation, pictures, holes) and isolate individual instances of each region. To meet these requirements, we model our problem as one of semantic instance-level segmentation and introduce a deep-network based instance segmentation framework custom modified for fully automatic layout parsing.</p>
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<a href="https://ihdia.iiit.ac.in/Palmira/" class="btn btn-primary">Learn More</a>
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<h4 class="card-title">
<a href="#">OCR</a>
</h4>
<a href="#"><img class="card-img-top" src="https://ravika.github.io/ravikiran_files/16-teaser.png" alt=""></a>
<p class="card-text">We introduce an OCR for Sanskrit texts printed in Devanagari and containing long, highly conjoined words. Our OCR achieves a word error rate of 15.97% and a character error rate of 3.71% on challenging Indic document texts. </p>
</div>
<div class="card-footer">
<a href="https://github.com/ihdia/sanskrit-ocr" class="btn btn-primary">Code and Documentation</a>
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<a href="#">Annotation and Analytics Systems</a>
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<a href="#"><img class="card-img-top" src="https://i.imgur.com/ESKKlHu.png" alt=""></a>
<p class="card-text">We propose a web-based layout annotation and analytics system. Our system, called Historic Indic Document Layout Analyzer (HInDoLA), features <a href="https://github.com/ihdia/hindola-backend">an intuitive annotation GUI</a>, <a href="https://github.com/ihdia/hindola-dash">a graphical analytics dashboard</a> and interfaces with machine-learning based intelligent modules on the backend. HInDoLA has successfully helped us create the first ever large-scale dataset for layout parsing of Indic palm-leaf manuscripts, which in turn has enabled us to train deep networks for fully automatic instance-level layout parsing. </p>
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<div class="card flex-md-row h-md-250">
<div class="card-body">
<p class="card-text mb-2 ">
ETV Telangana (cable TV channel) covered our work on historical manuscript analysis in Yuva, a daily segment which covers young achievers. Watch the video below (in Telugu) and click on images for news articles.
<table>
<tr>
<td> <iframe width="560" height="415" src="https://www.youtube.com/embed/ctVyiraxAwE" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
</td>
<td> <a href="https://www.newindianexpress.com/states/telangana/2019/oct/16/now-ai-to-help-study-old-manuscripts-2048229.html"><img width=90% src="https://ravika.github.io/ravikiran_files/ie-indiscapes.png" alt=""></a> </td>
<td> <a href="https://timesofindia.indiatimes.com/city/hyderabad/city-gets-first-of-its-kind-database-to-decode-palm-leaf-manuscripts/articleshow/71621784.cms"><img width=90% src="https://ravika.github.io/ravikiran_files/toi-indiscapes.png" alt=""></a> </td>
</tr>
</table>
</p>
<div class="d-flex justify-content-between align-items-center ">
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<div class="tag-date"> </div>
</div>
</div>
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<div class="container" style="width: 700px; margin: 0 auto;">
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<h2 id="pubs"> Publications </h2>
<div class="row-lg-12 pub-item">
<div class="card flex-md-row h-md-250">
<div class="card-body">
<small class="text-muted">December,2024</small>
<h4 class="mb-2">
<a href="http://ihdia.iiit.ac.in/LineTR/">LineTR:Unified Text Line Segmentation for Challenging Palm Leaf Manuscripts</a>
</h4>
<p class="card-text mb-2 ">
Vaibhav Agrawal,Niharika Vadlamudi,Muhammad Waseem,Amal Joseph,Sreenya Chitluri,<a href="https://ravika.github.io/">Ravi Kiran Sarvadevabhatla</a>
<br><a href="https://icpr2024.org">International Conference on Pattern Recognition (<strong>ICPR 2024</strong>)</a>
</p>
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<div class="btn-group">
<!--button type="button" class="btn btn-sm btn-outline-primary"><a href="#xnet" data-toggle="modal">bibtex</a></button-->
<button type="button" class="btn btn-sm btn-outline-primary"><a href="http://ihdia.iiit.ac.in/LineTR/">project page</a></button>
<button type="button" class="btn btn-sm btn-outline-primary" href="https://github.com/ihdia/LineTR"><a href="https://github.com/ihdia/LineTR">code</a></button>
<button type="button" class="btn btn-sm btn-outline-primary" href="https://drive.google.com/file/d/1aztOQW7b24D1OqzJ3Yv-j9XPG0iBbnap/view"><a href="https://drive.google.com/file/d/1aztOQW7b24D1OqzJ3Yv-j9XPG0iBbnap/view">video</a></button>
</div>
</div>
<div class="tag-date"> </div>
</div>
</div>
<div class="row-lg-12 pub-item">
<div class="card flex-md-row h-md-250">
<div class="card-body">
<small class="text-muted">December,2023</small>
<h4 class="mb-2">
<a href="https://github.com/ihdia/seamformer">SeamFormer: High Precision Text Line Segmentation for Handwritten Documents</a>
</h4>
<p class="card-text mb-2 ">
Niharika Vadlamudi, Rahul Krishna, <a href="https://ravika.github.io/">Ravi Kiran Sarvadevabhatla</a>
<br><a href="https://icdar2021.org/">International Conference on Document Analysis and Recognition (<strong>ICDAR 2023</strong>)</a>
</p>
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<!--button type="button" class="btn btn-sm btn-outline-primary"><a href="#xnet" data-toggle="modal">bibtex</a></button-->
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<small class="text-muted">December,2021</small>
<h4 class="mb-2">
<a href="https://dl.acm.org/doi/abs/10.1145/3490035.3490278">Deformable Deep Networks for Instance Segmentation of Overlapping Multi page Handwritten Documents</a>
</h4>
<p class="card-text mb-2 ">
Aitha Sowmya,Bollampalli Sindhu,<a href="https://ravika.github.io/">Ravi Kiran Sarvadevabhatla</a>
<br><a href="https://iitj.ac.in/icvgip2021/">ICVGIP 2021: Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing</a>
</p>
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<button type="button" class="btn btn-sm btn-outline-primary"><a href="https://dl.acm.org/doi/abs/10.1145/3490035.3490278">paper</a></button>
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<!-- <button type="button" class="btn btn-sm btn-outline-primary"><a href="https://ihdia.iiit.ac.in/docvisor/">project page</a></button> -->
<button type="button" class="btn btn-sm btn-outline-primary" href="https://github.com/ihdia/im2pages"><a href="https://github.com/ihdia/im2pages">code</a></button>
<!-- <button type="button" class="btn btn-sm btn-outline-primary" href="https://youtu.be/37CBvyQfPKI"><a href="https://youtu.be/37CBvyQfPKI">video</a></button> -->
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</div>
<div class="tag-date"> </div>
</div>
</div>
<div class="row-lg-12 pub-item">
<div class="card flex-md-row h-md-250">
<div class="card-body">
<small class="text-muted">September, 2021</small>
<h4 class="mb-2">
<a href="https://ihdia.iiit.ac.in/docvisor/">DocVisor: A Multi-purpose Web-Based Interactive Visualizer for Document Image Analytics</a>
</h4>
<p class="card-text mb-2 ">
Khadiravana Belagavi,Pranav Tadimeti,<a href="https://ravika.github.io/">Ravi Kiran Sarvadevabhatla</a>
<br><a href="https://sites.google.com/view/icdar-ost-2021">3rd ICDAR Workshop on Open Services and Tools for Document Analysis (ICDAR-OST)</a>
</p>
<div class="d-flex justify-content-between align-items-center ">
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<!--button type="button" class="btn btn-sm btn-outline-primary"><a href="#xnet" data-toggle="modal">bibtex</a></button-->
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<button type="button" class="btn btn-sm btn-outline-primary" href="https://youtu.be/37CBvyQfPKI"><a href="https://youtu.be/37CBvyQfPKI">video</a></button>
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<div class="tag-date"> </div>
</div>
</div>
<div class="row-lg-12 pub-item">
<div class="card flex-md-row h-md-250">
<div class="card-body">
<small class="text-muted">May, 2021</small>
<h4 class="mb-2">
<a href="https://ihdia.iiit.ac.in/Palmira/">PALMIRA: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts</a>
</h4>
<p class="card-text mb-2 ">
SP Sharan, Aitha Sowmya, Amandeep Kumar, Abhishek Trivedi, Aaron Augustine, <a href="https://ravika.github.io/">Ravi Kiran Sarvadevabhatla</a>
<br><a href="https://icdar2021.org/">International Conference on Document Analysis and Recognition (<strong>ICDAR 2021</strong>)</a>
</p>
<div class="d-flex justify-content-between align-items-center ">
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<!--button type="button" class="btn btn-sm btn-outline-primary"><a href="#xnet" data-toggle="modal">bibtex</a></button-->
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<button type="button" class="btn btn-sm btn-outline-primary" href="https://github.com/ihdia/Palmira"><a href="https://github.com/ihdia/Palmira">code</a></button>
<button type="button" class="btn btn-sm btn-outline-primary" href="https://www.youtube.com/watch?v=V4XWngkrtxQ"><a href="https://www.youtube.com/watch?v=V4XWngkrtxQ">video</a></button>
</div>
</div>
<div class="tag-date"> </div>
</div>
</div>
<div class="row-lg-12 pub-item">
<div class="card flex-md-row h-md-250">
<div class="card-body">
<small class="text-muted">May, 2021</small>
<h4 class="mb-2">
<a href="https://ihdia.iiit.ac.in/BoundaryNet/">BoundaryNet - An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation</a> <strong><font color="red"> [ORAL]</font> </strong>
</h4>
<p class="card-text mb-2 ">
Abhishek Trivedi, <a href="https://ravika.github.io/">Ravi Kiran Sarvadevabhatla</a>
<br><a href="https://icdar2021.org/">International Conference on Document Analysis and Recognition (<strong>ICDAR 2021</strong>)</a>
</p>
<div class="d-flex justify-content-between align-items-center ">
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<small class="text-muted">May, 2020</small>
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<a href="http://openaccess.thecvf.com/content_CVPRW_2020/papers/w34/Dwivedi_An_OCR_for_Classical_Indic_Documents_Containing_Arbitrarily_Long_Words_CVPRW_2020_paper.pdf">An OCR for Classical Indic Documents Containing Arbitrarily Long Words</a>
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Agam Dwivedi, Rohit Saluja, <a href="https://ravika.github.io/">Ravi Kiran Sarvadevabhatla</a>
<br><a href="https://cvpr2020text.wordpress.com/">CVPR 2020 Workshop on Text and Documents in the Deep Learning Era (<strong>WTDDLE</strong>)</a>
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<a href="https://cdn.iiit.ac.in/cdn/cvit.iiit.ac.in/images/ConferencePapers/2019/ICDAR_19_OST_Hindola.pdf">HInDoLA: A Cloud-based System for Large-Scale Annotation and Analysis of Indic Palm Leaf Manuscripts</a> <strong><font color="red"> [ORAL]</font> </strong>
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Abhishek Trivedi, <a href="https://ravika.github.io/">Ravi Kiran Sarvadevabhatla</a>
<br><a href="https://icdar2019.org/">2nd International Workshop on Open Services and Tools for Document Analysis (<strong>ICDAR-OST 2019</strong>)</a>
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<a href="https://arxiv.org/pdf/1912.07025.pdf">Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts</a><strong><font color="red"> [ORAL]</font> </strong>
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<p class="card-text mb-2 ">
Abhishek Prusty, Sowmya Aitha, Abhishek Trivedi, <a href="https://ravika.github.io/">Ravi Kiran Sarvadevabhatla</a>
<br><a href="https://icdar2019.org/">International Conference on Document Analysis and Recognition (<strong>ICDAR ’19</strong>)</a>
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Dr. Ravi Kiran Sarvadevabhatla <br>
Center for Visual Information Technologies <br>
IIIT Hyderabad, Hyderabad 500032, INDIA <br>
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E-mail: ravi.kiran@iiit.ac.in
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