Abstract
There are many connected characters in cursive Uyghur handwriting, which makes the segmentation and recognition of Uyghur words very difficult. To enable large vocabulary Uyghur word recognition using character models, we propose a character separation method for over-segmentation in online cursive Uyghur handwriting. After removing delayed strokes from the handwritten words, potential breakpoints are detected from concavities and ligatures by temporal and shape analysis of the stroke trajectory. Our preliminary experiments on an online Uyghur word dataset demonstrate that the proposed method can give a high recall rate of segmentation point detection.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Plamondon, R., Srihari, S.N.: On-line and off-line handwriting recognition - a comprehensive survey. IEEE Trans. Pattern Anal. Mach. Intell. 22(1), 63–85 (2000)
Jaeger, S., Manke, S., Reichert, J., Waibel, A.: Online hand-writing recognition: The NPen++ recognizer. Int. J. Document Analysis and Recognition 3(3), 169–180 (2001)
Khorsheed, M.S.: Off-line Arabic character recognition - a review. Pattern Analysis and Applications 5(1), 31–45 (2002)
Liu, C.L., Koga, M., Fujisawa, H.: Lexicon-driven segmentation and recognition of handwritten character strings for Japanese address reading. IEEE Trans. Pattern Anal. Mach. Intell. 24(11), 1425–1437 (2002)
Wang, Q.F., Yin, F., Liu, C.L.: Handwritten Chinese text recognition by integrating multiple contexts. IEEE Trans. Pattern Anal. Mach. Intell. (in press, 2012)
Amin, A.: Off-line Arabic character recognition: the state of art. Pattern Recognition 31(5), 517–530 (1998)
Benouareth, A., Ennaji, A., Sellami, M.: Arabic handwritten word recognition using HMMs with explicit state duration. Journal on Advances in Signal Processing, 1–13 (2008)
Casey, R.G., Lecolinet, E.: A survey of methods and strategies in character segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 18(7), 690–706 (1996)
Cheung, A., Bennamoun, M., Bergmann, N.W.: A new word segmentation algorithm for Arabic script. DICTA: Digital Imaging Comput. Tech. Appl., 431–435 (1997)
Lu, Y., Sridhar, M.: Character segmentation in handwritten words: an overview. Pattern Recognition 29(1), 77–96 (1996)
Halmurat, A.: Research and development of a multifont printed Uyghur character recognition system. Chinese Journal of Computers 27(11), 1480–1484 (2004) (in Chinese)
Sadik, M.: Basics of Uyghur Language. Xinjiang People’s Press, Urumqi (1992) (in Chinese)
Abdelazeem, S., Eraqi, H.M.: On-line Arabic handwritten personal names recognition system based on HMM. In: Proc. 11th Int. International Conference on Document Analysis and Recognition (ICDAR), Beijing, China, pp. 1304–1318 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ibrahim, M., Zhang, H., Liu, CL., Hamdulla, A. (2012). An Effective Character Separation Method for Online Cursive Uyghur Handwriting. In: Liu, CL., Zhang, C., Wang, L. (eds) Pattern Recognition. CCPR 2012. Communications in Computer and Information Science, vol 321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33506-8_65
Download citation
DOI: https://doi.org/10.1007/978-3-642-33506-8_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33505-1
Online ISBN: 978-3-642-33506-8
eBook Packages: Computer ScienceComputer Science (R0)