JOURNAL ARTICLE

Handwritten Devanagari Character Recognition using Convolutional Neural Network

Abstract

In any pattern recognition task, feature extraction and classification stages handle the responsibility of recognizing the patterns accurately. Deep learning relives the task of feature extraction and extracts them automatically, thus reducing the programmer's burden. Deep learning is replacing other pattern recognition techniques recently. In applications like character recognition, which involves large amount of database and variability in the data, deep learning is the right choice to handle the challenges involved. In this paper, a system for handwritten Devanagari character recognition using Convolutional Neural Network is discussed. The recognition accuracy obtained is 91.23% for Devanagari characters and 100% for Devanagari numerals.

Keywords:
Devanagari Convolutional neural network Computer science Character recognition Character (mathematics) Artificial intelligence Pattern recognition (psychology) Neocognitron Feature extraction Speech recognition Natural language processing Mathematics Image (mathematics)

Metrics

15
Cited By
1.01
FWCI (Field Weighted Citation Impact)
18
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Handwritten Text Recognition Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology
Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction

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