2 citations · 7 across the 9 of their papers we have counts for
9 papers
Graph Neural Network based Handwritten Trajectories Recognition
Anuj Sharma, Sukhdeep Singh, S Ratna
The graph neural networks has been proved to be an efficient machine learning technique in real life applications. The handwritten recognition is one of the useful area in real lif…
GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System
Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore +1
The Handwritten Text Recognition problem has been a challenge for researchers for the last few decades, especially in the domain of computer vision, a subdomain of pattern recognit…
An inclusive review on deep learning techniques and their scope in handwriting recognition
Sukhdeep Singh, Sudhir Rohilla, Anuj Sharma
Deep learning expresses a category of machine learning algorithms that have the capability to combine raw inputs into intermediate features layers. These deep learning algorithms h…
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan
Graph Neural Networks (GNN) have emerged as a popular and standard approach for learning from graph-structured data. The literature on GNN highlights the potential of this evolving…
Lexicon and Attention based Handwritten Text Recognition System
Lalita Kumari, Sukhdeep Singh, VVS Rathore +1
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…
Offline Handwritten Mathematical Recognition using Adversarial Learning and Transformers
Ujjwal Thakur, Anuj Sharma
Offline Handwritten Mathematical Expression Recognition (HMER) is a major area in the field of mathematical expression recognition. Offline HMER is often viewed as a much harder pr…
A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System
Lalita Kumari, Sukhdeep Singh, VVS Rathore +1
Cursive handwritten text recognition is a challenging research problem in the domain of pattern recognition. The current state-of-the-art approaches include models based on convolu…
A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet
Lalita Kumari, Sukhdeep Singh, Vaibhav Varish Singh Rathore +1
In this study, we have presented an efficient procedure using two state-of-the-art approaches from the literature of handwritten text recognition as Vertical Attention Network and…
Newton methods based convolution neural networks using parallel processing
Ujjwal Thakur, Anuj Sharma
Training of convolutional neural networks is a high dimensional and a non-convex optimization problem. At present, it is inefficient in situations where parametric learning rates c…