Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey
S Singh, A Sharma, VK Chauhan - Artificial Intelligence Review, 2023 - Springer
Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …
machine learning in recent years. Handwriting recognition systems have a variety of …
Character and numeral recognition for non-Indic and Indic scripts: a survey
A collection of different scripts is employed in writing languages throughout the world.
Character and numeral recognition of a particular script is a key area in the field of pattern …
Character and numeral recognition of a particular script is a key area in the field of pattern …
Character recognition in natural images
TE de Campos, BR Babu, M Varma - International conference on …, 2009 - scitepress.org
This paper tackles the problem of recognizing characters in images of natural scenes. In
particular, we focus on recognizing characters in situations that would traditionally not be …
particular, we focus on recognizing characters in situations that would traditionally not be …
Offline recognition of Devanagari script: a survey
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 …
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 …
possible applications in assisting technology for blind and visually impaired users, human …
Comparative study of Devnagari handwritten character recognition using different feature and classifiers
U Pal, T Wakabayashi, F Kimura - 2009 10th International …, 2009 - ieeexplore.ieee.org
In recent years research towards Indian handwritten character recognition is getting
increasing attention. Many approaches have been proposed by the researchers towards …
increasing attention. Many approaches have been proposed by the researchers towards …
A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts
Recognition of handwritten characters is a challenging task. Variations in writing styles from
one person to another, as well as for a single individual from time to time, make this task …
one person to another, as well as for a single individual from time to time, make this task …
Feature extraction and classification techniques for handwritten Devanagari text recognition: a survey
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 …
interesting, complex, and challenging task is handwritten character recognition because of …
A survey on optical character recognition for Bangla and Devanagari scripts
The past few decades have witnessed an intensive research on optical character
recognition (OCR) for Roman, Chinese, and Japanese scripts. A lot of work has been also …
recognition (OCR) for Roman, Chinese, and Japanese scripts. A lot of work has been also …
Handwritten Hindi character recognition using k-means clustering and SVM
A Gaur, S Yadav - … on emerging trends and technologies in …, 2015 - ieeexplore.ieee.org
The scriptDevanagari'is used in many Indian languages. Hindi language is also under
Devanagari script. In this paper recognition of Hindi characters is done by using a three step …
Devanagari script. In this paper recognition of Hindi characters is done by using a three step …