A Neural Approach to Cursive Handwritten Character Recognition Using Features Extracted from Binarization Technique - Complex System Modelling and Control Through Intelligent Soft Computations - page 756

Oliveira, L. S., Sabourin, R., Bortolozzi, F., & Suen, C. Y. (2002). Automatic recognition of
handwritten numerical strings: A recognition and veri cation strategy. IEEE Transactions
on Pattern Analysis and Machine Intelligence, 24(11), 1438 - 1454.
Otsu, N. (1979). A threshold selection method from gray level histogram. IEEE Transaction on
System, Man, Cybernetics, 9(1), 62 - 66.
Rajashekararadhya, S. V., & Ranjan, P. V. (2009). Efficient zone based feature extraction
algorithm for handwritten numeral recognition of four popular south Indian scripts. Journal of
Theoretical and Applied Information Technology, 4(12), 1171 1180.

Russ, J. (2007). The image processing handbook (5th ed.). Boca Raton, FL, USA: CRC Press.
ISBN 0849372542.
Saba, T., Sulong, G., & Rehman, A. (2011). Document image analysis: Issues, comparison of
methods and remaining problems. Arti cial Intelligence Review, 35(2), 101

-

118.
Sadri, J., Cheriet, M. (2009). A new approach for skew correction of documents based on particle
swarm optimization. In Proceedings of 10th International Conference on Document Analysis
and Recognition ICDAR

-

' 09 (pp. 1066 1070). IEEE Computer Society, Washington, DC, USA

-

.doi: 10.1109/ICDAR.2009.268 .
Sarfraz, M., Rasheed, Z. (2008). Skew estimation and correction of text using bounding box. In
Proceedings of 5th International Conference on Computer Graphics, Imaging and Visuali-
zation (CGIV ' 08) (pp. 259 - 264). Washington, DC, USA: IEEE Computer Society. doi: 10.
1109/CGIV.2008.10 .
Sauvola, J., Sepp ä nen. T., Haapakoski, S. & Pietik ä nen, M. (1997). Adaptive document
binarization. In Fourth International Conference Document Analysis and Recognition (ICDAR)
(pp. 147

152), Ulm, Germany.
Shanthi, N., & Duraiswamy, K. (2009). A novel SVM-based handwritten Tamil character
recognition. Pattern Analysis and Application, 13, 173

-

180. doi: 10.1007/s10044-009-0147-0 .
Sivanandam, S. N., & Deepa, S. N. (2008). Principals of soft computing (pp. 71

-

83). New Delhi,

-

India: Wiley-India. ISBN 978812652741.
Tomoyuki, H., Takuma, A. & Bunpei, I. (2007). An analytic word recognition algorithm using a
posteriori probability. In Proceedings of the 9th International Conference on Document

Analysis and Recognition (Vol. 2, pp. 669 673), September 23 26, 2007, Tokyo. doi: 10.1109/

- -

ICDAR.2007.4376999 .
Verma, B., Blumenstein, M. (2008). Pattern recognition technologies and applications: Recent
advances pp. 1 16. Hershey, New York: Information Science Reference (An Imprint of IGI

Global Publications).
Verma, B., Blumenstein, M., & Ghosh, M. (2004). A novel approach for structural feature
extraction: Contour vs direction. Pattern Recognition Letter, 25(9), 975 - 988.
Wang, X., Ding, X., & Liu, C. (2005). Gabor filters-based feature extraction for character
recognition. Pattern Recognition, 38(3), 369 - 379.

-