Visualization of Customized Convolutional Neural Network for Natural Language Recognition

Visualization of Customized Convolutional Neural Network for Natural Language Recognition

For analytical approach-based word recognition techniques, the task of segmenting the word into individual characters is a big challenge, specifically for cursive handwriting. For this, a holistic approach can be a better option, wherein the entire word is passed to an appropriate recognizer. Gurumu...

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Bibliographic Details
Main Authors: Alharbi, A. (Author), Alyami, H. (Author), Anand, D. (Author), Garg, M. (Author), Goyal, N. (Author), Gupta, D. (Author), Gupta, S. (Author), Ortega-Mansilla, A. (Author), Singh, T.P (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Analyse gurumukhi script
analysis Gurumukhi script
Analytical approach
Character recognition
Convolution
convolutional neural network
Convolutional neural network
Convolutional neural networks
Handwritten word recognition
Holistic approach
Language recognition
Natural languages
Network architecture
Off-line handwritten
performance
Performance
Vocabulary control
word recognition
Word recognition
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