📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 6, JUNE 2017

Handwritten Character Recognition using Neural Network

Manish Kumar Sahu, Naveen Kumar Dewangan

DOI: 10.17148/IJARCCE.2017.6603

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: NN Neural Network, Character recognition, pattern recognition.

How to Cite:

[1] Manish Kumar Sahu, Naveen Kumar Dewangan, “Handwritten Character Recognition using Neural Network,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6603