Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives
The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …
An Intelligent Telugu Handwritten Character Recognition Using Multi-Objective Mayfly Optimization with Deep Learning–Based DenseNet Model
The handwritten character recognition process has gained significant attention among
research communities due to its application in assistive technologies for visually impaired …
research communities due to its application in assistive technologies for visually impaired …
Offline handwritten basic telugu optical character recognition (ocr) using convolution neural networks (cnn)
B Kalpana, M Hanmandlu - 2023 10th International Conference …, 2023 - ieeexplore.ieee.org
This paper attempts at the development of an OCR of the handwritten Telugu text comprising
the words made up of only the basic characters without matras for simplicity. There are 3 …
the words made up of only the basic characters without matras for simplicity. There are 3 …
Deep Learning based Telugu Video Text Detection using Video Coding Over Digital Transmission
R Srividhya, T Jayachandran… - 2022 6th International …, 2022 - ieeexplore.ieee.org
With the development of smart devices and high-speed internet, demands for the ever-
increasing number of videos. Comparing conventional machine learning methods with in …
increasing number of videos. Comparing conventional machine learning methods with in …
Visual Recognition of Text Messages to Communicate with Visually Impaired Subjects
K Rathi, KLN Eranki, SR Chary… - 2024 10th International …, 2024 - ieeexplore.ieee.org
Communication among visually impaired people can be challenging while identifying
objects as they depend on the other people around. With advances in Generative AI …
objects as they depend on the other people around. With advances in Generative AI …
Enhancing the Recognition of Hand Written Telugu Characters: Natural Language Processing and Machine Learning Approach
BG Reedy, G Meghana, T Subhadra… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Handwritten character recognition has wider application in many areas including heritage
documents, education, document digitalization, language processing, and assisting the …
documents, education, document digitalization, language processing, and assisting the …
[PDF][PDF] Deep Learning Based Residual Network Features for Telugu Printed Character Recognition.
VK Sonthi, S Nagarajan… - Intelligent Automation & …, 2022 - cdn.techscience.cn
In India, Telugu is one of the official languages and it is a native language in the Andhra
Pradesh and Telangana states. Although research on Telugu optical character recognition …
Pradesh and Telangana states. Although research on Telugu optical character recognition …
Convolutional Neural Network Assisted Off-line Handwritten Character Recognition of Meitei Mayek
D Hijam - 2024 - agnee.tezu.ernet.in
The problem of handwritten character recognition (HCR) has been studied extensively over
the last few decades by the research community because of their broad applicability. HCR is …
the last few decades by the research community because of their broad applicability. HCR is …
[PDF][PDF] Puzzle optimization algorithm with capsule networks based Telugu character recognition model
JS Phaniram, MB Reddy - Indonesian Journal of Electrical …, 2022 - academia.edu
Recently, Telugu character recognition (TCR) becomes a hot research topic because of
drastic increase in technological advancements such as multimedia, and smartphones …
drastic increase in technological advancements such as multimedia, and smartphones …
Handwritten Telugu Vowel Character Classification Using Modified 25-Layer AlexNET With Transfer Learning
Due to remarkable performance, deep neural networks have gained popularity in computer
vision and machine learning applications such as regression, segmentation, classification …
vision and machine learning applications such as regression, segmentation, classification …