Multi-Lingual Handwritten Recognition Using Convolutional Recurrent Neural Networks

Sanjit Kumar Dash; Sompalli Pranay; P. Hemanth; Aravindkumar Sekar

doi:10.1109/icses63760.2024.10910392

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-Lingual Handwritten Recognition Using Convolutional Recurrent Neural Networks

Sanjit Kumar Dash Sompalli Pranay P. Hemanth Aravindkumar Sekar

Year: 2024 Pages: 1-7

DOI: 10.1109/icses63760.2024.10910392

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Convolutional neural network Artificial intelligence Pattern recognition (psychology) Speech recognition Recurrent neural network Artificial neural network

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.32

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-Lingual Handwritten Recognition Using Convolutional Recurrent Neural Networks

Metrics

Topics

Related Documents

Bi-Lingual Handwritten Character And Numeral Recognition Using Multi-Dimensional Recurrent Neural Networks (Mdrnn)

Bi-Lingual Handwritten Character And Numeral Recognition Using Multi-Dimensional Recurrent Neural Networks (Mdrnn)

Liberated Arabic Handwritten Text Recognition using Convolutional Recurrent Neural Networks

Handwritten Alphabet Recognition Using Convolutional Neural Networks

HANDWRITTEN CHARACTER RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS