Mehran University Research Journal Of Engineering &
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Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR

Keywords: Urdu Optical Character Recognition, Multilingual Optical Character Recognition, Naskh, Nasta’liq

Mehran University Research Journal of Engineering & Technology

Volume 35 ,  Issue 2


1. Naz, S., Hayat, K., Razzak, M.I., Anwar, M.W., Madani, S.A., and Khan, S.U., “The Optical Character Recognition of Urdu-Like Cursive Scripts”, Pattern Recognition, Volume 47, No. 3, pp. 1229-1248, 2014.
2. Arica, N., and Yarman-Vural, F.T., “Optical Character Recognition for Cursive Handwriting”, IEEE Transaction on Pattern Anal Mach Intelligence, Volume 24, No. 6, pp. 801-813, 2002
3. Naz, S., Hayat, K., Razzak, M.I., Anwar, M.W., and Khan, S.Z., “Challenges in Baseline Detection of Arabic Script Based Languages”, Intelligent Systems for Science and Information, Studies in Computatioanl Intelligence, Volume 542, pp. 181-196, 2014
4. Nazif, A., “A System for the Recognition of the Printed Arabic Characters”, Master’s Thesis, Faculty of Engineering, Cairo University, 1975
5. Al-Badr, B., and Mahmoud, S.A, “Survey and Bibliography of Arabic Optical Text Recognition”, Signal Process, Volume 41, No. 1, pp. 49-77, 1995
6. Cheriet, M., "Visual Recognition of Arabic Handwriting: Challenges and New Directions', Arabic and Chinese Handwriting Recognition, Lecture Notes in Computer Science, Volume 4768, pp. 1-21, Springer, 2008
7. Naz, S., Hayat, K., Razzak, M.I., Anwar, M.W., and Akbar, H., "Arabic Script Based Language Character Recognition: Nasta'liq vs Naskh analysis", World Congress on Computer and Information Technologies WCCIT'13, Tunisia, 2013.
8. Durrani, A., "Urdu Informatics", Center of Excellence for Urdu Informatics, National Language Authority, Islamabad, Pakistan, 2008
9. Durrani, A., "Pakistani: Lingual Aspect of National Integration of Pakistan", Ministry of Education Curriculum Review, Pakistan, 2009.
10. Razzak, M.I., and Mirza, A.A., "Effect of Ghost Character Theory on Arabic Script based Languages Character Recognition", Przeglad Elektrotechniczny, [ISSN 0033- 2097]
11. Lehal, G.S., "Choice of Recognizable Units for URDU OCR", Proceedings of Workshop on Document Analysis and Recognition, pp.79-85, New York, USA, 2012
12. Naz, S., Umar, A.I., Shirazi, S.H., Ahmed, S.B., Razzak, M.I., and Siddiqi, I., "A Review of Segmentation Techniques for Recognition of Arabic-Like Scripts", Education and Information Technologies-Springer, Volume 20, No. 2, 2015.
13. Ahmed, S.B., Naz, S., Razzak, M.I., Rasheed, S.F., and Khan, A.A., "Evaluation of Cursive and Non-Cursive Scripts using Recurrent Neural Networks", Neural Computation & Application-Springer, Volume 26, No. 3, April, 2015.