Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR)
Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …
Recognition (OCR) of documents have invaluable practical worth. Optical character …
[PDF][PDF] Construction of statistical SVM based recognition model for handwritten character recognition
YB Hamdan, A Sathesh - Journal of Information Technology, 2021 - scholar.archive.org
There are many applications of the handwritten character recognition (HCR) approach still
exist. Reading postal addresses in various states contains different languages in any union …
exist. Reading postal addresses in various states contains different languages in any union …
A review of research on Devnagari character recognition
English Character Recognition (CR) has been extensively studied in the last half century
and progressed to a level, sufficient to produce technology driven applications. But same is …
and progressed to a level, sufficient to produce technology driven applications. But same is …
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 …
Handwritten devanagari character recognition using modified lenet and alexnet convolution neural networks
Abstract Despite many advances, Handwritten Devanagari Character Recognition (HDCR)
remains unsolved due to the presence of complex characters. For HDCR, the traditional …
remains unsolved due to the presence of complex characters. For HDCR, the traditional …
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 …
Combining multiple feature extraction techniques for handwritten Devnagari character recognition
In this paper, we present an OCR for handwritten Devnagari characters. Basic symbols are
recognized by neural classifier. We have used four feature extraction techniques namely …
recognized by neural classifier. We have used four feature extraction techniques namely …
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 …
Off-line handwritten character recognition of devnagari script
U Pal, N Sharma, T Wakabayashi… - … on Document Analysis …, 2007 - ieeexplore.ieee.org
In this paper we present a system towards the recognition of off-line handwritten characters
of Devnagari, the most popular script in India. The features used for recognition purpose are …
of Devnagari, the most popular script in India. The features used for recognition purpose are …