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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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← Back to VOLUME 11, ISSUE 4, APRIL 2022

HANDWRITTEN CHARACTER RECOGNITION USING NEURAL NETWORKS

Dr. L. SURIYA KALA

DOI: 10.17148/IJARCCE.2022.11432

Abstract: OCR has been an interesting topic for many years now. The main use of this OCR is to make documents which can be editable from existing paper documents (or) even image files. To develop this OCR we are need of approaches . To recognize the character image processing algorithms are needed. In this paper mainly focusing about MLOCR, dataset, Prediction accuraies in Neural Netwok.

Keywords: Optical Character Recognition, CNN, Pattern recognition, Handwriting Recognition, Document Image, MLOCR.

How to Cite:

[1] Dr. L. SURIYA KALA, “HANDWRITTEN CHARACTER RECOGNITION USING NEURAL NETWORKS,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11432