Handwritten Gujarati numerals classification based on deep convolution neural networks using transfer learning scenarios
In recent years, handwritten numeral classification has achieved remarkable attention in the
field of computer vision. Handwritten numbers are difficult to recognize due to the different …
field of computer vision. Handwritten numbers are difficult to recognize due to the different …
HCR-Net: A deep learning based script independent handwritten character recognition network
Handwritten character recognition (HCR) remains a challenging pattern recognition problem
despite decades of research, and lacks research on script independent recognition …
despite decades of research, and lacks research on script independent recognition …
[PDF][PDF] Recognition of compound characters in Kannada language
ST Narasimhaiah, L Rangarajan - Int. J. Electr. Comput. Eng, 2022 - academia.edu
Recognition of degraded printed compound Kannada characters is a challenging research
problem. It has been verified experimentally that noise removal is an essential …
problem. It has been verified experimentally that noise removal is an essential …
Advancements in Handwriting Recognition: Deep Learning Techniques Applied to Kannada Language
Numerous applications use handwriting recognition, such as optical character recognition,
document analysis, and automated form generation. Computer vision and machine learning …
document analysis, and automated form generation. Computer vision and machine learning …
[PDF][PDF] Deep convolutional neural networks for degraded printed Kannada character recognition
TN Sridevi, L Rangarajan - Indian J Comput Sci Eng (IJCSE), 2021 - ijcse.com
Recognition of degraded printed Kannada characters is a challenging research problem.
Proposed in this paper is a deep convolutional neural network for recognition of degraded …
Proposed in this paper is a deep convolutional neural network for recognition of degraded …