BibTeX:

@article{IJIRSTV5I12004,
     title={Implementation of Handwritten Character Recognition using Neural Network},
     author={Deepak Gowda D A, Likitha N, Harusha S, Hruday M and Girish B G},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={5},
     number={12},
     pages={6--8},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV5I12004.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The handwritten character recognition problem has become most famous problem in machine learning. This paper will focus on neural network technique to recognize the handwritten characters. The purpose is to develop a Android Application to recognize characters with a higher accuracy rate reducing its space and time complexities. Random datasets of handwritten characters has been used for conducting experiments. The OCR and many other methods were proposed for character recognition. Recognition, accuracy rate, performance and execution time is an important criterion that is to be met by the method being used. Handwriting character recognition has been a challenging area of research, with the implementation of Machine Learning we propose a Neural Network based approach.

Handwritten Character Recognition, Neural Network