An Automatic Closed-Loop Methodology for Generating Character Groundtruth for Scanned Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Benchmarking of Document Analysis Systems
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Data structures and tools for document database generation: an experimental system
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
Baseline Estimation For Arabic Handwritten Words
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Synthetic Data for Arabic OCR System Development
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Measuring the accuracy of page-reading systems
Measuring the accuracy of page-reading systems
HMM Based Approach for Handwritten Arabic Word Recognition Using the IFN/ENIT- Database
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Arabic Handwriting Recognition Competition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Arabic Handwriting Recognition Using Baseline Dependant Features and Hidden Markov Modeling
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Offline Arabic Handwriting Recognition: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual recognition of Arabic handwriting: challenges and new directions
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
HIT-OR3C: an opening recognition corpus for Chinese characters
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
A database for offline arabic handwritten text recognition
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Offline arabic handwritten text recognition: A Survey
ACM Computing Surveys (CSUR)
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The great success and high recognition rates of both OCR systems and recognition systems for handwritten words are unconceivable without the availability of huge datasets of real world data. This chapter gives a short survey of datasets used for recognition with special focus on their application. The main part of this chapter deals with Arabic handwriting, datasets for recognition systems, and their availability. A description of different datasets and their usability is given, and the results of a competition are presented. Finally, a strategy for the development of Arabic handwriting recognition systems based on datasets and competitions is presented.