A Review of Handwritten Text Recognition using Machine Learning and Deep Learning Techniques


EOI: 10.11242/viva-tech.01.05.032

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Citation

Ms. Priyank Shah, Ms. Nitiket Shinde, Ms. Deep Limbad, Prof. Ashwini Save, "A Review of Handwritten Text Recognition using Machine Learning and Deep Learning Techniques", VIVA-IJRI Volume 1, Issue 5, Article 32, pp. 1-6, 2022. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Handwriting recognition has achieved tremendous success in the real world. It has various applications such as equation solver, automation etc. Researchers have proven how recognition of handwritten language characters is done by using a three step procedure using Machine learning algorithms. Moreover OCR method allows to convert data from physical to digital. Some researchers have also discovered that colossal amounts of handwritten documents must be digitally available when this handwritten recognition manifests, as machines must understand the handwritten text. With technical advancements, researchers found better efficiency using the deep learning model than machine learning models. In this paper survey is done to show which algorithms are useful for handwritten text recognition, as many machine learning algorithms have shown that handwritten strings under complex conditions cannot be accurately recognized where deep learning algorithms work perfectly with high precision big data.

Keywords

Handwritten Text Recognition, Machine Learning, Deep Learning, Optical Character Recognition (OCR).

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