• Sonia Flora
• Anju Kakkad

Handwritten Character Recognition is one of the important application of Computer Vision. There has been a plentiful research done in the Handwritten Character Recognition using various Machine Learning algorithms on various Indian scripts like Devnanagri, Telugu , Tamil, Gurmukhi etc in last 3 decades but optimum recognition rate are yet to achieve in some scripts. In this review paper, we are comparing the classification accuracy of handwritten digit using artificial neural network and using state of the art deep learning model i.e. convolutional neural network.

Handwritten Digit Recognition, Artificial Neural Network, Convolutional Neural Network, Deep Learning, Digit Classfication

"Comparison Study of Handwritten Digit Recognition using Artificial Neural Network and Convolutional Neural Network: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.94-97, May - 2019, Available :http://www.jetir.org/papers/JETIRCQ06017.pdf

"Comparison Study of Handwritten Digit Recognition using Artificial Neural Network and Convolutional Neural Network: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp94-97, May - 2019, Available at : http://www.jetir.org/papers/JETIRCQ06017.pdf