期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2019
卷号：8
期号：3
页码：243-245
出版社：IJCSN publisher
摘要：Handwritten character recognition has been one of the active research area in deep learning. This Recognition processing
includes many applications such as reading bank cheques, converting written documents to structural text form. Handwritten recognition
is a challenging task for computer system. Deep learning techniques are used for understanding the handwritten data through training.
Recently used network is Convolution neural network for recognition process. In this paper, we used residual network for recognition.
Before applying CNN we had performed image processing operations like pre-processing, conversion to greyscale, thresholding, image
segmentation etc. With the use of residual networks, we can achieve fast training process and can attain more accuracy than other
networks. Residual network is differing from Convolution neural network due to which residually adding a parallel connection to the
layers of convolution neural network in order to providing better performance.
