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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.
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This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Dr. L. SURIYA KALA, βHANDWRITTEN CHARACTER RECOGNITION USING NEURAL NETWORKS,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11432