The following list of competitions are being organized in the framework of ICDAR to evaluate the performance of different algorithms for a number of document analysis tasks. The results of these competitions will be presented at a specific session during the conference.
Pioneering attempt towards automatic recognition of handwritten mathematical expressions dates back to 60's of the previous century. After this initial attempt, several researchers have tried to study this problem at different paces. (more...)
Contacts: Harold Mouchère (harold.mouchere@univ-nantes.fr)
Writer identification is the task of finding the writer of a specific document. It helps forensic experts in taking their decisions regarding the authenticity of a questioned document.(more...)
Contacts:Abdelâali Hassaïne (hassaine@qu.edu.qa)
Somaya Al-Ma'adeed (s_alali@qu.edu.qa)
Jihad Mohamad Alja'am (jaam@qu.edu.qa)
Ali Mohamed Jaoua (jaoua@qu.edu.qa)
Ahmed Bouridane (ahmed.bouridane@northumbria.ac.uk)
The goal of the competition is to evaluate and compare automatic techniques for extracting structural information from digitized books to build hyperlinked table of contents.(more...)
We are organizing the first edition of the Arabic Digitally Printed Text Recognition Competition. The underlining objectiveis to compare recognition rates on different fonts and sizes of digitally represented Arabic textand to contribute in the evolution of Arabic printed text recognition research.(more...)
Following the successful Signature Verification Competition on Skilled Forgeries (SigComp2009) organized at ICDAR 2009, we invite all researchers and developers in the field of signature verification to register and participate in a new competition (SigComp2011). (more...)
Contacts: Marcus Liwicki (marcus.liwicki@dfki.de)
Michael Blumenstein (m.blumenstein@griffith.edu.au)
Elisa van den Heuvel (e.van.den.heuvel@nfi.minjus.nl)
Document image binarization is an important step in the document image analysis and recognition pipeline. Therefore, it is imperative to have a benchmarking dataset along with an objective evaluation methodology in order to capture the efficiency of current document image binarization practices.(more...)
Contacts: Ioannis Pratikakis (ipratika@ee.duth.gr)
Writer identification is a behavioural handwriting-based recognition modality which proceeds by matching unknown handwritings against a database of samples with known authorship and it is considered today as a hot and promising topic of research. (more...)
Motivation: Tables are a prominent element of communication in documents, often containing information that would take many a paragraph to write otherwise. The first step to table understanding is to draw the tables physical model, i.e. identify its location and component cells, rows ad columns. (more...)
Contact: Ana Costa e Silva (anycostasilva@hotmail.com)
The general objective of the competition is raised from“King Abdullah Initiative for Arabic Content” to promote the digital Arabic content production and to support the development in this field, toward the transition into an Arabic knowledge society.(more...)
In the last years, there has been a growing interest in the analysis of handwritten music scores. In this context, the focus of interest is two-fold: the recognition of handwritten music scores (Optical Music Recognition), and the identification (or verification) of the authorship of an anonymous music score.(more...)
Our proposal: On line recognition of the cursive Arabic handwritten words, aims to contribute in the evolution of on line Arabic handwriting recognition research.(more...)
This contest aims to provide a metric giving indications on the influence of individual specific document analysis tools to overall end-to-end applications.(more...)
Document Image Analysis (DIA) was established to address the need for the automated analysis of scanned paper documents, but has since evolved to incorporate a great variety of text containers that include scene images, video sequences, and digital-born (Web and email) images.(more...)
The competition is aimed to test the state-of-the-art technology in online and offline handwritten Chinese character recognition and handwritten Chinese text recognition, to find the merits and insufficiencies of current methods, and to motivate further research.(more...)
