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GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System
Thus, in this study, we present an end-to-end paragraph recognition system that incorporates internal line segmentation and gated convolutional layers based encoder.
Lexicon and Attention based Handwritten Text Recognition System
The handwritten text recognition problem is widely studied by the researchers of computer vision community due to its scope of improvement and applicability to daily lives, It is a sub-domain of pattern recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System
In recent studies, combination of convolutional neural network and gated convolutional neural networks based models demonstrated less number of parameters in comparison to convolutional recurrent neural networks based models.
A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet
In this study, an end-to-end paragraph recognition system is presented with a lexicon decoder as a post-processing step.
