Online handwriting recognition systems for Indic and non-Indic scripts: a review

H Singh, RK Sharma, VP Singh - Artificial Intelligence Review, 2021 - Springer
Handwriting recognition is one of the challenging tasks in the area of pattern recognition and
machine learning. Handwriting recognition has two flavors, namely, Offline Handwriting …

Age, gender and handedness prediction using handwritten text: A comprehensive survey

C Singla, R Maini, M Kumar - Engineering Applications of Artificial …, 2024 - Elsevier
Handwriting recognition is widely acknowledged as one of the most challenging tasks in
pattern recognition and machine learning. This study explores the intriguing field of age …

Recognition of online handwritten Gurmukhi characters using recurrent neural network classifier

H Singh, RK Sharma, VP Singh, M Kumar - Soft Computing, 2021 - Springer
Handwriting recognition is one of the challenging tasks in the area of pattern recognition and
machine learning. This paper presents the recognition of Online handwritten basic …

SFGDO: smart flower gradient descent optimization enabled generative adversarial network for recognition of tamil handwritten character

N Sasipriyaa, P Natesan, E Gothai - Journal of Visual Communication and …, 2023 - Elsevier
The Tamil language is complicated to identify, and thus more efforts are devised in the
literary works. The objective is to develop a model called the Smart Flower Gradient Descent …

Machine recognition of online handwritten Devanagari characters

N Joshi, G Sita, AG Ramakrishnan… - Eighth International …, 2005 - ieeexplore.ieee.org
In this paper, we describe a system for the automatic recognition of isolated handwritten
Devanagari characters obtained by linearizing consonant conjuncts. Owing to the large …

Recognition of online handwritten mathematical formulas using probabilistic SVMs and stochastic context free grammars

F Simistira, V Katsouros, G Carayannis - Pattern Recognition Letters, 2015 - Elsevier
Although recognition of online handwritten text has reached a point of maturity, recognition
of online handwritten mathematical expressions remains still a challenging problem. In this …

On-line handwriting recognition of Indian scripts-the first benchmark

T Mondal, U Bhattacharya, SK Parui… - … on Frontiers in …, 2010 - ieeexplore.ieee.org
Online handwriting recognition of Indian scripts has been drawing increasing attention in
recent years. Related research has gained further momentum due to recent planned funding …

A stock market prediction model using Artificial Neural Network

K Abhishek, A Khairwa, T Pratap… - 2012 Third International …, 2012 - ieeexplore.ieee.org
The use of Neural networks has found a variegated field of applications in the present world.
This has led to the development of various models for financial markets and investment. This …

Comparison of HMM-and SVM-based stroke classifiers for Gurmukhi script

K Verma, RK Sharma - Neural Computing and Applications, 2017 - Springer
With the evolution of touch-based devices, development of handwriting recognition systems
has received attention from many researchers. An online handwriting recognition system for …

Wavelet based image denoising using adaptive thresholding

S Sudha, GR Suresh… - … Intelligence and Multimedia …, 2007 - ieeexplore.ieee.org
The denoising of a natural image corrupted by Gaussian noise is a long established
problem in signal or image processing Even though much work has been done in the field of …