JOURNAL ARTICLE

Handwritten Character Recognition using Neural Network

Abstract

Handwritten character recognition is an area of pattern recognition which defines an ability of a machine to analyze a pattern and identify the character.Pattern recognition is the science of making inferencas from perpatule data based on either priore knowledge or on statistical information.This paper focouses on development of software algorithm to recognize any hand written character efficiently on computer with input is either an old optical image or currently provided through touch input, mouse or pen.

Keywords:
Character (mathematics) Character recognition Artificial neural network Computer science Artificial intelligence Pattern recognition (psychology) Speech recognition Mathematics

Metrics

11
Cited By
0.38
FWCI (Field Weighted Citation Impact)
2
Refs
0.63
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

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