MOCR 2013 - 4th International Workshop on Multilingual OCR (MOCR2013)
Date2013-08-24
Deadline2013-05-15
VenueWashington , USA - United States
Keywords
Websitehttps://www.icdar2013.org
Topics/Call fo Papers
The workshop will explore methodologies for multilingual document analysis systems with particular focus on OCR. The scope of Multilingual OCR is defined to include systems that are capable of reading more than one language in the same document, as well as one-language-per-document systems that can be easily retargeted to new languages. The workshop will provide a forum for technical discussions on three important themes:
progress in the last decade in multilingual OCR
adaptation and repurposing of proven methods for multilingual OCR
hard open research problems and promising new approaches
Contributions addressing (but not limited to) the following areas are invited:
Recognition Domains : Script and Language identification, Machine-print and handwriting
Evaluation Methodologies: Metrics, Standards, Ground truthing, Benchmark datasets
Multiple languages: Techniques applicable/retargetable to multiple languages/scripts
Document Analysis: Layout analysis, Reading order, Structured objects such as tables
Document types: Contemporary as well as historical documents, video text
Recognition methodologies: Techniques such as HMMs, suitable features, use of language models etc.
Instructions for submission of camera-ready copies of accepted papers can be found on the Submissions page.
progress in the last decade in multilingual OCR
adaptation and repurposing of proven methods for multilingual OCR
hard open research problems and promising new approaches
Contributions addressing (but not limited to) the following areas are invited:
Recognition Domains : Script and Language identification, Machine-print and handwriting
Evaluation Methodologies: Metrics, Standards, Ground truthing, Benchmark datasets
Multiple languages: Techniques applicable/retargetable to multiple languages/scripts
Document Analysis: Layout analysis, Reading order, Structured objects such as tables
Document types: Contemporary as well as historical documents, video text
Recognition methodologies: Techniques such as HMMs, suitable features, use of language models etc.
Instructions for submission of camera-ready copies of accepted papers can be found on the Submissions page.
Other CFPs
Last modified: 2013-01-16 23:36:51