Hassan Althobaiti
ABSTRACT
Recognition of handwritten Arabic text is a difficult task since there are many challenges and obstacles that face any handwritten Arabic OCR system. Some of them include, but are not limited to: different handwriting styles, different characters that have similar contours, and the same character may have different forms according to its position in a sentence. Several approaches have been attempted to accurately recognize handwritten Arabic characters. However, the issue of the accuracy of Arabic OCR in handwritten text continues to be a dilemma. We will describe the general difficulties in handwritten Arabic language text, and propose a novel approach for identifying isolated handwritten Arabic characters using encoded Freeman chain code. We will also apply a novel approach of using change in tangents to classify characters. Several handwritten Arabic characters were trained and tested with our own dataset. The results showed the efficacy of our approach for recognizing isolated handwritten Arabic characters. The average accuracy rate of our method ranges from 92% to 97%.
- Addakiri, K. and Bahaj, M., 2012. On-line handwritten arabic character recognition using artificial neural network. International Journal of Computer Applications, 55(13).Google Scholar
- Al-Jarrah, O., Al-Kiswany, S., Al-Gharaibeh, B., Fraiwan, M. and Khasawneh, H., 2006. A new algorithm for arabic optical character recognition. WSEAS Transactions on Information Science and Applications, 3(4), pp.832--845.Google Scholar
- Dreuw, P., Rybach, D., Heigold, G. and Ney, H., 2012. RWTH OCR: A large vocabulary optical character recognition system for Arabic scripts. In Guide to OCR for Arabic Scripts (pp. 215--254). Springer London.Google Scholar
- Sahloul, A. and Suen, C., 2014. OFF-line system for the recognition of handwritten arabic character. In Fourth International Conference on Computer Science & Information Technology (pp. 227--244). Google ScholarCross Ref
- Mangoli1, M., and Desai, S. 2016. Optical character recognition for cursive handwriting. International Research Journal of Engineering and Technology (IRJET).Google Scholar
- Al-Badr, B. and Haralick, R.M., 1998. A segmentation-free approach to text recognition with application to Arabic text. International Journal on Document Analysis and Recognition, 1(3), pp.147--166. Google ScholarCross Ref
- Cheung, A., Bennamoun, M. and Bergmann, N.W., 2001. An Arabic optical character recognition system using recognition-based segmentation. Pattern recognition, 34(2), pp.215--233. Google ScholarCross Ref
- Tomeh, N., Habash, N., Roth, R., Farra, N., Dasigi, P., Diab, M.T. and Solutions, S.T., 2013, August. Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition. In ACL (2) (pp. 549--555).Google Scholar
- Dreuw, P., Rybach, D., Heigold, G. and Ney, H., 2012. RWTH OCR: A large vocabulary optical character recognition system for Arabic scripts. In Guide to OCR for Arabic Scripts (pp. 215--254). Springer London. Google ScholarCross Ref
- Aljarrah, I., Al-Khaleel, O., Mhaidat, K., Alrefai, M.A., Alzu'bi, A. and Rabab'ah, M., 2012. Automated system for arabic optical character recognition with lookup dictionary. Journal of Emerging Technologies in Web Intelligence, 4(4), pp.362--370.Google ScholarCross Ref
- Addakiri, K. and Bahaj, M., 2012. On-line handwritten arabic character recognition using artificial neural network. International Journal of Computer Applications, 55(13). Google ScholarCross Ref
- Aljarrah, I., Al-Khaleel, O., Mhaidat, K., Alrefai, M.A., Alzu'bi, A. and Rabab'ah, M., 2012. Automated system for arabic optical character recognition with lookup dictionary. Journal of Emerging Technologies in Web Intelligence, 4(4), pp.362--370. Google ScholarCross Ref
- Hassin, A.H., Tang, X.L., Liu, J.F. and Zhao, W., 2004. Printed Arabic character recognition using HMM. Journal of Computer Science and Technology, 19(4), pp.538--543. Google ScholarDigital Library
- Dinges, L., Al-Hamadi, A., Elzobi, M. and El-Etriby, S., 2016. Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research. Sensors, 16(3), p.346. Google ScholarCross Ref
- AbdelRaouf, A., Higgins, C.A. and Khalil, M., 2008, June. A database for Arabic printed character recognition. In International Conference Image Analysis and Recognition (pp. 567--578). Springer Berlin Heidelberg. Google ScholarDigital Library
- Gonzalez, R.C. and Woods, R.E., 2007. Image processing. Digital Image Processing, 2.Google Scholar
- Parker, J.R., 1993. Practical computer vision using C. John Wiley & Sons, Inc.Google Scholar
- Shah, K., 2017, April 18th. Shape recognition using tangents and change in tangents". U.S. Provisional Patent No. 62,486,594.Google Scholar
- Izakian, H., Monadjemi, S.A., Ladani, B.T. and Zamanifar, K., 2008. Multi-font Farsi/Arabic isolated character recognition using chain codes. World Academy of Science, Engineering and Technology, 43, pp.67--70.Google Scholar
- Umbaugh, S.E., 2016. Digital image processing and analysis: human and computer vision applications with CVIP tools. CRC press.Google Scholar
Index Terms
- Isolated Handwritten Arabic Character Recognition Using Freeman Chain Code and Tangent Line
Recommendations
Automated system for Arabic optical character recognition
ICICS '12: Proceedings of the 3rd International Conference on Information and Communication SystemsIn this paper an Arabic Optical Character Recognition system is implemented. The system takes a scanned image of an Arabic text as an input and generates an editable text out of it. The system starts by segmenting the document which is presented as an ...
Online Recognition System for Handwritten Arabic Chemical Symbols
ICCCE '14: Proceedings of the 2014 International Conference on Computer and Communication EngineeringArabic chemical symbols are remarkably different from Latin chemical symbols which written by Arabic characters. On the other hand, Arabic chemical symbols follow Latin chemical symbols from the structure of writing the symbols. Although, Arabic symbols ...
A Survey on Arabic Handwritten Character Recognition
AbstractThere are much heavy studies on handwritten character recognition (HCR) for nearly previous four decades. The research on some of the common script like Arabic, Indian and Chinese has been done. This manuscript presents a survey of character ...
Comments