期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2021
卷号：9
期号：7
页码：8130-8133
DOI：10.15680/IJIRCCE.2021.0907045
语种：English
出版社：S&S Publications
摘要：In recent times, with the increase of Artificial Neural Network, deep learning has brought a dramatic twist in the field of Machine Learning by making it more artificially intelligent. This is a system that provides a full alphanumeric recognition of printed or handwritten characters at electronic speed by simply scanning the form. In deep learning, Convolutional Neural Network(CNN) is at the center of spectacular advances that mixes Artifical Neural Network(ANN) and up-to date deep learning strategies. It has been used broadly in pattern recognition, sentence classification, speech recognition, face recognition, text categorization, document analysis, scene and handwritten alphanumeric recognition. The goal of this project is to observe the variation of accuracies of CNN to classify handwritten alphanumeric characters using various numbers of hidden layers and to make the comparison between accuracies.For this experiment, we train huge amount of datasets and further CNN algorithm is used to which a classifier is added to get the desired output.
