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 …

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 …

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, …

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 …

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 …

[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 …

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 …

[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

Writer independent offline signature verification based on asymmetric pixel relations and unrelated training-testing datasets

EN Zois, A Alexandridis, G Economou - Expert Systems with Applications, 2019 - Elsevier
… introducing a feature extraction scheme that relies on the detection of first order transitions
between asymmetrical lattice arrangements … This is a direction we plan to explore in the future. …

CMT-Co: Contrastive Learning with Character Movement Task for Handwritten Text Recognition

X Zhang, J Wang, L Jin, Y Ren… - Proceedings of the …, 2022 - openaccess.thecvf.com
… the text content by using the moving directionasymmetric structure, and a pleasing
performance could be achieved without negative samples. In the field of handwritten text recognition