Handwritten character recognition using convolutional neural network

I Khandokar, M Hasan, F Ernawan… - Journal of Physics …, 2021 - iopscience.iop.org
… The approach used to recognize the characters from dataset ETL9B, where directional
element features were extracted for each character and asymmetric Mahalanobis distance was …

A Literature Survey on Handwritten Character Recognition

L Singh, JK Sandhu, R Sahu - … International Conference on …, 2023 - ieeexplore.ieee.org
… of edge information from handwritten characters is accomplished using the eightnatives …
and searching for the boundary in a clockwise direction. When encountering a foreground pixel, …

Linear and symmetric conductance response of magnetic domain wall type spin-memristor for analog neuromorphic computing

T Shibata, T Shinohara, T Ashida, M Ohta… - Applied Physics …, 2020 - iopscience.iop.org
… evaluated using numerical simulation of hand-written digit recognition. … impact of element
characteristics (eg asymmetry and … direction of DW was opposite to the current flow direction as …

Optical Handwritten Devnagari Character Recognition Using Artificial Neural Network Approach

JA PATIL, DRSR PATIL - … Innovations in Engineering Research and Technology - neliti.com
… We consider chain code of direction 1 and 5, 0 and 4, 2 and 6, 3 and 7, are same. Hence,
we get in each block an array of four integer values which represents the corresponding …

Enhanced Deep Learning Techniques to Classify Tamil Handwritten Characters

TM Saravanan, M Jegadeesan… - … Techniques in …, 2024 - ieeexplore.ieee.org
… In this article, we evaluate the handwritten character identification … Within each of these zones,
a directional algorithmic … both symmetric and asymmetric elements. These building blocks …

Temporal Convolution based Skip Connections for Online Arabic Handwriting Recognition

D Othmen, R Zouari, H Boubaker… - … Technology (ACIT), 2022 - ieeexplore.ieee.org
text recognition field deals with typewritten and handwritten … classified according to its slant
direction. Thereafter, Discrete … This approach falls in the case of asymmetric movement where …

Optical Character Recognition and Text to Speech Generation System using Machine Learning

P Padmavathi, BB Mahadas, SS Kalluri… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
… for identifying the characters involves applying asymmetric Mahala Nobis distance for fine
classification and collecting directional element characteristics for each character from dataset …

HANDWRITTEN DIGIT RECOGNITION USING MULTILAYER PERCEPTRONS AND BACKPROPAGATION LEARNING

MD Johnson, JM Rodriguez - International Journal of Advances …, 2023 - americaserial.com
… A handwritten character recognition system using directional element feature and asymmetric
Mahalanobis distance. IEEE transactions on pattern analysis and machine intelligence, 21(…

[HTML][HTML] A bibliometric analysis of off-line handwritten document analysis literature (1990–2020)

V Ruiz-Parrado, R Heradio, E Aranda-Escolastico… - Pattern Recognition, 2022 - Elsevier
… variety of problems (text recognition, signature verification, writer identification, word spotting…
handwritten character recognition system using directional element feature and asymmetric

[PDF][PDF] Character recognition system

AA Tayade - 2020 - viirj.org
… In this research system, the charact acknowledgment calculation incorporates LB directional
… DCT transform we are use these three combinations for features extraction use by proposed …