Offline recognition of Devanagari script: a survey

R Jayadevan, SR Kolhe, PM Patil… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
In India, more than 300 million people use Devanagari script for documentation. There has
been a significant improvement in the research related to the recognition of printed as well …

Handwritten devanagari character recognition using layer-wise training of deep convolutional neural networks and adaptive gradient methods

M Jangid, S Srivastava - journal of imaging, 2018 - mdpi.com
Handwritten character recognition is currently getting the attention of researchers because of
possible applications in assisting technology for blind and visually impaired users, human …

Handwritten devanagari character recognition using modified lenet and alexnet convolution neural networks

DS Prashanth, RVK Mehta, K Ramana… - Wireless Personal …, 2022 - Springer
Abstract Despite many advances, Handwritten Devanagari Character Recognition (HDCR)
remains unsolved due to the presence of complex characters. For HDCR, the traditional …

Feature extraction and classification techniques for handwritten Devanagari text recognition: a survey

S Singh, NK Garg, M Kumar - Multimedia Tools and Applications, 2023 - Springer
The character recognition system is a vital area in the field of pattern recognition. One
interesting, complex, and challenging task is handwritten character recognition because of …

Machine and Deep Learning Classifiers for Indic Scripts Recognition: Challenges and Research Perspective

A Gupta, R Sharma, A Chadha… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
The character recognition technique is based on electronic or mechanical transformation of
handwritten or printed document images into machine interpretable form. The machine …

Devanagari Character Recognition: A Comprehensive Literature Review

S Arora, L Malik, S Goyal, D Bhattacharjee… - IEEE …, 2024 - ieeexplore.ieee.org
The Devanagari script originated from the ancient Brahmi script and is a widely used Indic
script for writing different languages, like Sanskrit, Hindi, Marathi, Nepali, and Konkani …

Zernike moment feature extraction for handwritten Devanagari compound character recognition

KV Kale, PD Deshmukh, SV Chavan… - 2013 Science and …, 2013 - ieeexplore.ieee.org
Compound character recognition of Devanagari script is one of the challenging tasks since
the characters are complex in structure and can be modified by writing combination of two or …

An efficient segmentation technique for Devanagari offline handwritten scripts using the Feedforward Neural Network

VP Dhaka, MK Sharma - Neural Computing and Applications, 2015 - Springer
In this research work, we have proposed a segmentation technique for words and characters
of Devanagari offline handwritten scripts. Due to complex structures and high unevenness in …

[PDF][PDF] Multiclass recognition of offline handwritten Devanagari characters using CNN

M Bisht, R Gupta - International Journal of Mathematical, Engineering …, 2020 - academia.edu
The handwriting style of every writer consists of variations, skewness and slanting nature
and therefore, it is a stimulating task to recognise these handwritten documents. This article …

An efficient handwritten Devnagari character recognition system using neural network

N Sahu, NK Raman - 2013 International Mutli-Conference on …, 2013 - ieeexplore.ieee.org
Character recognition systems for various languages and script has gain importance in
recent decades and is the area of deep interest for many researchers. Their development is …