Abstract
In this paper, we have proposed a simple but effective feature extraction technique following the distance-based features to recognize online handwritten isolated Bangla basic characters. In this approach, a character is divided into N number of segments and then distances are calculated among each other. These distance values are then used as features for recognition purpose. On evaluation of this feature set on 10,000 Bangla character samples (50-class character set) by various classifiers, the method yields reasonably good result with 98.20 % success rate.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kubatur, S., Sid-Ahmed, M., Ahmadi, M.: A neural network approach to online Devanagari handwritten character recognition. In: International Conference on High Performance Computing and Simulation (2012) doi: 10.1109/HPCSim.2012.6266913
Swethalakshmi, H., Sekhar, C.C., Chakravarthy, V.S.: Spatiostructural features for recognition of online handwritten characters in Devanagari and Tamil scripts. In: Proceedings of International Conference on Artificial Neural Networks, vol. 2, pp. 230–239 (2007)
Swethalakshmi, H., Jayaraman, A., Chakravarthy, V.S., Sekhar, C.C.: On-line handwritten character recognition for Devanagari and Telugu scripts using support vector machines. In: Proceedings of International Workshop on Frontiers in Handwriting Recognition, pp. 367–372 (2006)
Joshi, N., Sita, G., Ramakrishnan, A.G., Deepu, V.: Machine recognition of online handwritten Devanagari characters. In: Procedings of International Conference on Document Analysis and Recognition, pp. 1156–1160 (2005)
Frinken, V., Bhattacharya, N., Pal, U.: Design of unsupervised feature extraction system for on-Line handwriting recognition. In: 11th IAPR International Workshop on Document Analysis and Systems, pp. 355–359 (2014)
Bhattacharya, N., Pal, U., Kimura, F.: A system for Bangla online handwritten text. In: International Conference on Document Analysis and Recognition, pp. 1335–1339 (2013)
Bhattacharya, N., Pal, U.: Strokes segmentation and recognition from Bangla online handwritten text. In: Frontiers in Handwriting Recognition, pp. 740–745 (2012)
Roy, K., Bandhopadhyay, A., Mondal, R.: Stroke-Database design for online handwriting recognition in Bangla. Int. J. Modern Eng. Res. pp. 2534–2540 (2012)
Bhattacharya, U., Banerjee, R., Baral, S., Dey, R., Parui, S.K.: A semi automatic annotation scheme for Bangla online mixed cursive handwriting samples. In: International Conference on Frontiers in Handwriting Recognition, pp. 680–685 (2012)
Mohiuddin, S.k., Bhattacharya, U., Parui, S.K.: Unconstrained Bangla online handwriting recognition based on MLP and SVM. In: Proceedings of Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data (2011) doi:10.1145/2034617.2034635
Fink, G.A., Vajda, S., Bhattacharya, U., Parui, S., Chaudhuri, B.B.: Online Bangla word recognition using sub-stroke level features and hidden Markov models. In: International Conference on Frontiers in Handwriting Recognition, pp. 393–398 (2010)
Mondal, T., Bhattacharya, U., Parui, S.K., Das, K., Mandalapu, D.: On-line handwriting recognition of indian scripts—the first benchmark. In: 12th International Conference on Frontiers in Handwriting Recognition, pp. 200–205 (2010)
Roy, K., Sharma, N., Pal, U.: Online Bangla handwriting recognition system. In: International Conference on Advances in Pattern Recognition, pp. 117–122 (2006)
Hamdulla, A., Simayi, W., Ibrayim, M., Tursun, D.: Research on on-line Uyghur handwritten character recognition technology based on modified center distance feature. In: Int. J. Signal Process. Image Process. Pattern Recogn. pp. 409–424 (2014)
Sen, S.P., Paul, S.S., Sarkar, R., Roy, K., Das, N.: Analysis of different classifiers for online bangla character recognition by combining both online and offline information. In: 2nd International Doctoral Symposium on Applied Computation and Security Systems (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
Sen, S., Sarkar, R., Roy, K. (2016). A Simple and Effective Technique for Online Handwritten Bangla Character Recognition. In: Das, S., Pal, T., Kar, S., Satapathy, S., Mandal, J. (eds) Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015. Advances in Intelligent Systems and Computing, vol 404. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2695-6_18
Download citation
DOI: https://doi.org/10.1007/978-81-322-2695-6_18
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2693-2
Online ISBN: 978-81-322-2695-6
eBook Packages: EngineeringEngineering (R0)