How to participate

There are 5 steps to participate:

1 - Register your interest via the email  address below (from 15 February 2017 to 15 April 2017).

Send the following information : name, institution and the list of the members of your team.

2 - Download the sample dataset(s) (available from 15 March 2017).

3 - Submit a description of your method(s) (before 01 May 2017)
For each challenge :
     - a maximum one A4 page detailed description and
     - a maximum 200 words short description for report

4 - Download the test dataset(s) (available from 20 May 2017).

5 - Submit your results  (before 31 May 2017).

Once the competition is completed, its results will be announced at ICDAR2017.

Glyph spotting challenge

Training dataset : TrainSet.zip

This archive includes 3 sections :

- Track Bali: training subset with Balinese manuscript dataset.
- Track Khmer: training subset with Khmer manuscript dataset.
- Track Mixed: training subset wiht both dataset which is a mixed of Balinese and Khmer manuscript dataset

Organizers of the competition

Jean-Christophe BURIE received his PhD in automatic control engineering from University of Lille, France, in 1995. He was a research fellow in the Department of Mechanical Engineering for Computer Controlled Machinery, Osaka University, Japan, from 1995 to 1997 in the framework of the Lavoisier Program of the French Foreign Office. He is currently a full professor at La Rochelle University. His research interests include computer vision, color image processing, and pattern recognition. His research topics concern color document analysis and character recognition.
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Web: http://l3i.univ-larochelle.fr/Burie-Jean-Christophe-MCF-HDR

Jean-Marc OGIER received his PhD in computer science from the University of Rouen, France, in 1994. He is a full professor at the University of La Rochelle, he is the author of more than 160 publications. He has been the chair of the TC10 (Graphic Recognition) of the IAPR, and is now the representative member of France at the governing board of the IAPR. He has been the chair of many international scientific events dealing with document analysis.
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Web: http://pageperso.univ-lr.fr/jmogier/Fiche_personnelle.html

Michel VERLEYSEN is a Professor of Machine Learning at the Université Catholique de Louvain, Belgium. He is editor-in-chief of the Neural Processing Letters journal (published by Springer), chairman of the annual ESANN conference (European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning), past associate editor of the IEEE Trans. on Neural Networks journal, and member of the editorial board and program committee of several journals and conferences on neural networks and learning.  He is author or co-author of more than 250 scientific papers in international journals and books or communications to conferences with reviewing committee. His research interests include machine learning, feature selection, nonlinear dimensionality reduction, visualization, high-dimensional data analysis, self-organization, time-series forecasting and biomedical signal processing.
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Web: https://perso.uclouvain.be/michel.verleysen/

Made Windu Antara KESIMAN
is a PhD candidate at the Laboratory of Information, Image and Interaction (L3i), University of La Rochelle, and is also a lecturer at the University of Pendidikan Ganesha, Indonesia. He received his engineering degree in informatics in 2004 at Bandung Institute of Technology, Indonesia, and his MSc degree in informatics majoring in image processing at the University of La Rochelle, France, in 2006. His work focuses on document analysis of ancient palm leaf manuscript.
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Dona VALY is a PhD candidate at the Université Catholique de Louvain, Belgium, and is also a researcher at the Institute of Technology of Cambodia (ITC). He received his engineering degree in computer science and communication in 2010 and his MSc degree in image synthesis and graphics at the University of Limoges, France, in 2011. His current PhD research work focuses on ancient palm leaf manuscript analysis and Khmer handwritten character recognition.
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Kimheng SOK is deputy head of Computer Science Department at Institute of Technology of Cambodia (ITC), master degree from INSA de Rennes France. He has led mobile research activity at ITC. He is also the outstanding instructional designer for E-learning course in ASEAN Cyber University Project and also the best trainer for USAIDCOMET mekong skill to work project for the CLMVT countries and joins STIC-ASIE Program for being the coadvisor of a PhD student.
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I Made Gede SUNARYA is a lecturer at Ganesha University of Education, Bali, Indonesia. He received his engineering degree in computer science in 2006 at the University of Gadjah Mada, Indonesia, and his master in computer science at the same university in 2012. His current research work focuses on printed and handwritten character recognition for Balinese script.

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[1] - M.W.A. Kesiman, S. Prum, J.-C. Burie, J.-M. Ogier, An Initial Study On The Construction Of Ground Truth Binarized Images Of Ancient Palm Leaf Manuscripts, in: 13th Int. Conf. Doc. Anal. Recognit. ICDAR, Nancy, France, 2015.
[2] - J.-C. Burie, M. Coustaty, S. Hadi, M.W.A. Kesiman, J.-M. Ogier, E. Paulus, K. Sok, I.M.G. Sunarya, D. Valy, ICFHR 2016 Competition on the Analysis of Handwritten Text in Images of Balinese Palm Leaf Manuscripts, in: 15th Int. Conf. Front. Handwrit. Recognit. 2016, Shenzhen, China, 2016: pp. 596–601. doi:10.1109/ICFHR.2016.107.
[3] - M.W.A. Kesiman, S. Prum, I.M.G. Sunarya, J.-C. Burie, J.-M. Ogier, An Analysis of Ground Truth Binarized Image Variability of Palm Leaf Manuscripts, in: 5th Int. Conf. Image Process. Theory Tools Appl. IPTA 2015, Orleans, France, 2015: pp. 229–233.
[4] - M.W.A. Kesiman, J.-C. Burie, J.-M. Ogier, G.N.M.A. Wibawantara, I.M.G. Sunarya, AMADI_LontarSet: The First Handwritten Balinese Palm Leaf Manuscripts Dataset, in: 15th Int. Conf. Front. Handwrit. Recognit. 2016, Shenzhen, China, 2016: pp. 168–172. doi:10.1109/ICFHR.2016.39.
[5] - M.W.A. Kesiman, J.-C. Burie, J.-M. Ogier, A New Scheme for Text Line and Character Segmentation from Gray Scale Images of Palm Leaf Manuscript, in: 15th Int. Conf. Front. Handwrit. Recognit. 2016, Shenzhen, China, n.d.: pp. 325–330. doi:10.1109/ICFHR.2016.63.
[6] - M.W.A. Kesiman, S. Prum, J.-C. Burie, J.-M. Ogier, Study on Feature Extraction Methods for Character Recognition of Balinese Script on Palm Leaf Manuscript Images, in: 23rd Int. Conf. Pattern Recognit., Cancun, Mexico, 2016.
[7] - M.W.A. Kesiman, D. Valy, J.-C. Burie, E. Paulus, I.M.G. Sunarya, S. Hadi, K.H. Sok, J.-M. Ogier, Southeast Asian palm leaf manuscript images: a review of handwritten text line segmentation methods and new challenges, J. Electron. Imaging. 26 (2016) 11011. doi:10.1117/1.JEI.26.1.011011.
[8] - C. Clausner, S. Pletschacher, A. Antonacopoulos, Aletheia - An Advanced Document Layout and Text Ground-Truthing System for Production Environments, in: IEEE, 2011: pp. 48–52. doi:10.1109/ICDAR.2011.19.

Important dates

The following table presents the important dates, along with the associated events, for the competition participants.

Important dates for participants
15 February 2017 Registration to competition is opened
15 April 2017 Registration deadline
15 March 2017 Sample dataset is published
1 May 2017 Deadline for participants to submit description of  methods
i) a maximum one A4 page detailed description and
ii) a maximum 200 words short description for report
20 May 2017 Test dataset is published
Competition is started
31 May 2017 Deadline to submit results