Summary of the paper
| Title | Arabic Word and Text Tecognition - Current Developments |
|---|---|
| Authors | Volker Märgner and Haikal El Abed |
| Abstract | Arabic word and text recognition methods for printed or handwritten words are known since many years. Such a recognition technology is a very important tool used in many natural language processing systems. This application makes it important to know the performance of existing recognition systems. We present in the first part of the paper a state of the art of Arabic word and text recognition systems and the used classification techniques. In the second part we discuss how evaluation methods and competitions support a user to select a system, which is best qualified for his application, but also support the development of text recognition systems and methods. Based on the results of the Arabic handwriting recognition competition held at ICDAR 2007 we show a concept to develop efficient recognition systems. On the basis of the actual situation of research, future trends are described in the last part of this paper. |
| Topics | Exploitation of LRs in different types of applications (information extraction, information retrieval, speech dictation, translation, summarisation, web services, semantic web, etc.), Evaluation methodologies, protocols and measures, Usability and user experience evaluation, qualitative and perceptive evaluation |
Full paper  |
Arabic Word and Text Tecognition - Current Developments |
| Bibtex | @InProceedings{MRGNER09.46, author = {Volker Märgner and Haikal El Abed}, title = {Arabic Word and Text Tecognition - Current Developments}, booktitle = {Proceedings of the Second International Conference on Arabic Language Resources and Tools}, year = {2009}, month = {April}, date = {22-23}, address = {Cairo, Egypt}, editor = {Khalid Choukri and Bente Maegaard}, publisher = {The MEDAR Consortium}, isbn = {2-9517408-5-9}, language = {english} } |