Recognizing Indian handwritten text is relatively complex compared to recognized foreign language such as English. In this work optimization techniques are presented to recognize Telugu handwritten characters. By extracting cell-based directional features from these characters, optimum features are selected by implementing optimization algorithms such as differential evolution and particle swarm optimization. An improvement of 3.5 % recognition accuracy is achieved using differential evolution algorithm. The optimization techniques are compared with the existing hybrid approach of Telugu script.
CITATION STYLE
Vijaya Lakshmi, T. R., Sastry, P. N., & Rajinikanth, T. V. (2017). Feature optimization to recognize telugu handwritten characters by implementing DE and PSO techniques. In Advances in Intelligent Systems and Computing (Vol. 516, pp. 397–405). Springer Verlag. https://doi.org/10.1007/978-981-10-3156-4_41
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