Asian Journal of Information Technology
11 - 22
Abed, M.A., A.N. Ismail and Z.M. Hazi, 2010. Pattern recognition using genetic algorithm. Int. J. Comput. Electr. Eng., 2: 583-588.Direct Link |
Basu, J.K., D. Bhattacharyya and T.H. Kim, 2010. Use of artificial neural network in pattern recognition. Int. J. Software Eng. Applic., 4: 23-34.Direct Link |
Cheng, H.P. and C.S. Cheng, 2009. Control chart pattern recognition using wavelet analysis and neural networks. J. Qual., 16: 311-321.Direct Link |
Choudharya, A., R. Rishib and S. Ahlawat, 2013. Off-line handwritten character recognition using features extracted from binarization technique. AASRI Procedia, 4: 306-312.CrossRef | Direct Link |
Desai, A.A., 2010. Gujarati handwritten numeral optical character reorganization through neural network. Pattern Recogn., 43: 2582-2589.CrossRef | Direct Link |
Dongre, V.J. and V.H. Mankar, 2010. A review of research on devnagari character recognition. Int. J. Comput. Applic., 12: 8-15.CrossRef | Direct Link |
John, J., K.V. Pramod and K. Balakrishnan, 2012. Unconstrained handwritten malayalam character recognition using wavelet transform and support vector machine classifier. Procedia Eng., 30: 598-605.CrossRef | Direct Link |
Jomy, J., K.V. Pramod and B. Kannan, 2011. Handwritten character recognition of South Indian scripts: A review. Proceedings of the National Conference on Indian Language Computing, February 19-20, 2011, Kochi, pp: 1-6.
Kaur, N. and U. Kaur, 2013. Survey of pattern recognition methods. Int. J. Adv. Res. Comput. Sci. Software Eng., 3: 317-319.Direct Link |
Kumar, K.V. and R.R. Rao, 2013. Improvement in efficiency of recognition of handwritten telugu script. Int. J. Inventive Eng. Sci., 2: 1-4.Direct Link |
Kumar, K.V. and R.R. Rao, 2013. Online handwritten character recognition for telugu language using support vector machines. Int. J. Eng. Adv. Technol., 3: 189-192.Direct Link |
Lakshmi, C.V., R. Jain and C. Patvardhan, 2006. OCR of Printed Telugu Text with High Recognition Accuracies. In: Computer Vision, Graphics and Image Processing, Kalra, P.K. and S. Peleg (Eds.)., LNCS. Vol. 4338, Springer-Verlag, Berlin, Heidelberg, pp: 786-795.
Liu, J., J. Sun and S. Wang, 2006. Pattern recognition: An overview. Int. J. Comput. Sci. Network Secur., 6: 57-61.Direct Link |
Mithe, R., S. Indalkar and N. Divekar, 2013. Optical character recognition. Int. J. Recent Technol. Eng., 2: 72-75.Direct Link |
Pirlo, G. and D. Impedovo, 2011. Fuzzy-zoning-based classification for handwritten characters. IEEE Trans. Fuzzy Syst., 19: 780-785.CrossRef | Direct Link |
Pirlo, G. and D. Impedovo, 2012. Adaptive membership functions for handwritten character recognition by voronoi-based image zoning. IEEE Trans. Image Process., 21: 3827-3837.CrossRef | Direct Link |
Rao, K.R.M., B. Ramesh and G.I. Reddy, 2013. Font and size identification in telugu printed document. Int. J. Eng. Res. Dev., 6: 92-110.Direct Link |
Sastry, P.N., R. Krishnan and B.V.S. Ram, 2010. Classification and identification of Telugu handwritten characters extracted from palm leaves using decision tree approach. ARPN J. Eng. Applied Sci., 5: 22-32.Direct Link |
Shao, Y., C. Wang and B. Xiao, 2013. Fast self-generation voting for handwritten Chinese character recognition. Int. J. Document Anal. Recogn., 16: 413-424.CrossRef | Direct Link |
Sharma, P. and R. Singh, 2013. Survey and classification of character recognition system. Int. J. Eng. Trends Technol., 4: 316-318.Direct Link |
Siddharth, K.S., M. Jangid, R. Dhir and R. Rani, 2011. Handwritten gurmukhi character recognition using statistical and background directional distribution features. Int. J. Comput. Sci. Eng., 3: 2332-2345.Direct Link |
Singh, S., 2013. Optical character recognition techniques: A survey. J. Emerg. Trends Comput. Inform. Sci., 4: 545-550.Direct Link |
Sitamahalakshmi, T., A.V. Babu and M. Jagadeesh, 2010. Character recognition using dempster-shafer theory-combining different distance measurement methods. Int. J. Eng. Sci. Technol., 2: 1177-1184.Direct Link |
Soman, S.T., A. Nandigam and C.S. Chakravarthy, 2013. An efficient multiclassifier system based on convolutional neural network for offline handwritten Telugu character recognition. Proceedings of the National Conference on Communications, February 15-17, 2013, Indian Institute of Technology Delhi, New Delhi, India, pp: 1-5.
Swethalakshmi, H., A. Jayaraman, V.S. Chakravarthy and C.C. Sekhar, 2006. Online handwritten character recognition of devanagari and telugu characters using support vector machines. Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition, October 2006, La Baule, France, pp: 1-8.
Tao, D., L. Liang, L. Jin and Y. Gao, 2014. Similar handwritten Chinese character recognition by kernel discriminative locality alignment. Pattern Recogn. Lett., 35: 186-194.CrossRef | Direct Link |
Wakahara, T. and Y. Yamashita, 2014. k
-NN classification of handwritten characters via accelerated GAT correlation. Pattern Recogn., 47: 994-1001.CrossRef | Direct Link |