HANDWRITTEN CHARACTER RECOGNITION USING NEURAL NETWORKS

L. SURIYA KALA

doi:10.17148/ijarcce.2022.11432

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JOURNAL ARTICLE

HANDWRITTEN CHARACTER RECOGNITION USING NEURAL NETWORKS

L. SURIYA KALA

Year: 2022 Journal: IJARCCE Vol: 11 (4)

DOI: 10.17148/ijarcce.2022.11432

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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:

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

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Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

HANDWRITTEN CHARACTER RECOGNITION USING NEURAL NETWORKS

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