Self-Adaptive Hybridized Lion Optimization Algorithm With Transfer Learning for Ancient Tamil Character Recognition in Stone Inscriptions

Author:

R R. Devi1ORCID,Karthikeyan S.1ORCID,Jaganathan Indra1,Rameshbabu Kiruba Shankar1,Abraham Ajith2ORCID,Gabralla Lubna A.3ORCID,Sivaraj R.4,Nandhagopal S. M.5

Affiliation:

1. KPR Institute of Engineering and Technology, Coimbatore, India

2. Faculty of Computing and Data Science, Flame University, Pune, India

3. Applied College, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

4. Nandha Engineering College, Erode, India

5. HKBK College of Engineering, Bengaluru, India

Funder

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Nourah bint Abdulrahman University Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference42 articles.

1. An efficient period prediction system for Tamil epigraphical scripts using transductive support vector machine;kumar;Int J Adv Res Comput Commun Eng,2014

2. Isolated Offline Tamil Handwritten Character Recognition Using Deep Convolutional Neural Network

3. Off-line Handwritten Character Recognition Using Features Extracted from Binarization Technique

4. Deep Convolutional Neural Network for Handwritten Tamil Character Recognition Using Principal Component Analysis

5. Character recognition and period prediction of ancient Kannada epigraphical scripts;bhat;Int J Innov Res Electr Electr Instrum Control Eng,2016

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