Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN

Author:

Bisht Mamta,Gupta Richa

Abstract

The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents. This article presents a study on various methods available in literature for Devanagari handwritten character recognition and performs its implementation using Convolutional neural network (CNN). Available methods are studied on different parameters and a tabular comparison is also presented which concludes superiority of CNN model in character recognition task. The proposed CNN model results in well acceptable accuracy using dropout and stochastic gradient descent (SGD) optimizer.

Publisher

International Journal of Mathematical, Engineering and Management Sciences plus Mangey Ram

Subject

General Engineering,General Business, Management and Accounting,General Mathematics,General Computer Science

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning Based Enhanced Handwritten Devanagari Character Recognition using Image Augmentation;2023 9th International Conference on Signal Processing and Communication (ICSC);2023-12-21

2. Reliability Evaluation and Prediction Method with Small Samples;International Journal of Mathematical, Engineering and Management Sciences;2023-08-01

3. Handwritten Devanagari Word Detection and Localization using Morphological Image Processing;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23

4. Offline Handwritten Devanagari Word Recognition Using CNN-RNN-CTC;SN Computer Science;2022-12-13

5. Diabetic Retinopathy Binary Image Classification Using Pyspark;International Journal of Mathematical, Engineering and Management Sciences;2022-10-01

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