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
Abouhaibah, I. (1998). Recognition of off-line cursive handwriting. Computer Vision and Image Understanding, 71(1), pp. 19–38.
Al Ohali, Y. (2002). Handwritten Word Recognition: Application to Arabic Cheque Processing. Ph.D. Thesis, Concordia University, Montreal, Canada.
Al-Badr, B. and Mahmoud, S. (1995). Survey and bibliography of Arabic optical text recognition. Signal Processing, 41, pp. 49–77.
Allen, J. (1995). Natural Language Understanding. Menlo Park, CA: The Benjamin/Cummings Publishing Company, Inc.
Alohali, Y., Cheriet, M., and Suen, C.Y. (2000). Databases for recognition of handwritten Arabic cheques. Proceedings of the Seventh IWFHR, Amster-dam, The Netherlands, pp. 601–606.
Alshebeili, S., Nabawi, A., and Mohmoud, S. (1997). Arabic character recog-nition using 1-D slices of the character spectrum. Signal Processing, 56, pp. 59–75.
Al-Yousefi, H. and Upda, S. (1990). Recognition of handwritten Arabic char-acters via segmentation. Arab Gulf Journal for Scientific Research, 8, pp. 49–59.
Amin, A.(2000). Recognition of printed Arabic text based on global features and decision tree learning techniques. Pattern Recognition, 33, pp. 1309–1323.
Ayat, N.E. (2003). Automatic model selection for support vectors machines: application to the recognition of handwritten digits. PhD thesis. Montreal, Canada: ETS, Université du Québec.
Blanz, V., Scholkopf, B., Bulthoff, H.H., Burges, C., Vapnik, V., and Vetter, T. (1996). Comparison of view-based object recognition algorithms using realistic 3d models. ICANN, pp. 251–256.
Cheriet, M. and Suen, C.Y. (1993). Extraction of key letters for cursive script recognition. Pattern Recognition Letters, 14, pp. 1009–1017.
Chim, Y., Kassim, A., and Ibrahim, Y. (1998). Dual classifier system for hand printed alphanumeric character recognition. Pattern Analysis & Applications, 1, pp. 155–162.
Chris, J.C.B. and Schölkopf, B. (1997). Improving the accuracy and speed of support vector machines. In: M.C. Mozer, M.I. Jordan, and T. Petsche (Eds.). Advances in Neural Information Processing Systems. CAmbridge, MA: The MIT Press, Volume 9, p. 375.
Cortes, C. and Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), pp. 273–297.
Dehghan, M., Faez, K., Ahmadi, M., and Shridhar, M. (2001). Handwritten Farsi (Arabic) word recognition: a holistic approach using discrete HMM. Pattern Recognition, 34, pp. 1057–1065.
Gilloux, M. and Leroux, M. (1993). Recognition of cursive script amounts on postal cheques. European Conference. Dedicated to Postal Technologies. Nantes, France, pp. 705–712.
Guillevic, D. (1995). Unconstrained handwriting recognition applied to the processing of bank cheques. PhD thesis. Montreal, Quebec, Canada: Concor-dia University.
Guillevic, D. and Suen, C.Y. (1998). Recognition of legal amounts on bank cheques. Pattern Analysis and Applications, 1, pp. 28–41.
Heutte, L., Paquet, T., Moreau, J., Lecourtier, Y., and Olivier, C. (1998). A structural/statistical feature based vector for handwritten character recogni-tion. Pattern Recognition Letters, 19, pp. 629–641.
Il-Seok, Oh. and Suen, C.Y. (1998). Distance features for neural network-based recognition of handwritten characters. IJDAR, pp. 73–88.
Kato, Y. and Yasuhara, M. (2000). Recovery of drawing order from single-stroke handwritten images. IEEE Transactions on PAMI, 22(9), pp. 938–949.
Kaufmann, G. and Bunke, H. (2000). Automatic reading of cheque amounts. Pattern Analysis & Applications, 3, pp. 132–141.
Kim, G. and Goveindaraju, V. (1997). A lexicon driven approach to hand-written word recognition for real time applications. IEEE Transactions on PAMI, 19(4), pp. 366–379.
Li, Z., Tang, S., and Yan, S. (2002). Pattern recognition with support vec-tor machines. Lecture Notes in Computer Science, chapter Multi-Class SVM Classifier Based on Pairwise Coupling. Berlin, Heidelberg: Springer, Volume 2388, pp. 321–333.
Loncaric, S. (1998). A survey of shape analysis techniques. Pattern Recognition, 31(8), pp. 983–1001.
Madhvanath, S. and Govindaraju, V. (1992). Using Holistic Features in Handwritten Word Recognition. United States Postal Service (USPS), Vol-ume 1, pp. 183–198.
Miled, H., Cheriet, M., and Olivier, C. (1998). Multi-level Arabic handwritten words recognition. Proceedings of Advances in Pattern Recognition, Sydney, Australia, pp. 944–951.
Miled, H., Olivier, C., Cheriet, M., and Lecourtier, Y. (1997). Coupling ob-servation/letter for a Markovian modelisation applied to the recognition of Arabic handwriting. ICDAR, pp. 580–583.
Moreira, M. and Mayoraz, E. (1998). Improved pairwise coupling classifica-tion with correcting classifiers. IDIAP-RR 09, IDIAP, 1997. Proceedings of the Tenth European Conference on Machine Learning.
Osuna, E., Freund, R., and Girosi, F. (1997). Training Support Vector Machines: An Application to Face Detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Puerto Rico, pp. 130–136.
Schmidt, M.S. (1996). Identifying speakers with support vector networks. Proceedings of the 28th Symposium on the Interface (INTERFACE-96). Sydney, Australia, July 1996.
Scholkopf, B. (1997). Support vector learning. PhD thesis. Berlin, Germany: Universität Berlin.
Strathy, N.W.(1993). Master thesis. Montreal, Canada: Concordia University.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag London Limited
About this chapter
Cite this chapter
Cheriet, M., Al-Ohali, Y., Ayat, N.E., Suen, C.Y. (2007). Arabic Cheque Processing System: Issues and Future Trends. In: Chaudhuri, B.B. (eds) Digital Document Processing. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84628-726-8_10
Download citation
DOI: https://doi.org/10.1007/978-1-84628-726-8_10
Publisher Name: Springer, London
Print ISBN: 978-1-84628-501-1
Online ISBN: 978-1-84628-726-8
eBook Packages: Computer ScienceComputer Science (R0)