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The biologically inspired Hierarchical Temporal Memory Model for Farsi Handwritten Digit and Letter Recognition

by Fatemeh Asgari, Ali Salehi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 16
Year of Publication: 2015
Authors: Fatemeh Asgari, Ali Salehi
10.5120/ijca2015906880

Fatemeh Asgari, Ali Salehi . The biologically inspired Hierarchical Temporal Memory Model for Farsi Handwritten Digit and Letter Recognition. International Journal of Computer Applications. 129, 16 ( November 2015), 6-11. DOI=10.5120/ijca2015906880

@article{ 10.5120/ijca2015906880,
author = { Fatemeh Asgari, Ali Salehi },
title = { The biologically inspired Hierarchical Temporal Memory Model for Farsi Handwritten Digit and Letter Recognition },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 16 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number16/23155-2015906880/ },
doi = { 10.5120/ijca2015906880 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:23:34.646577+05:30
%A Fatemeh Asgari
%A Ali Salehi
%T The biologically inspired Hierarchical Temporal Memory Model for Farsi Handwritten Digit and Letter Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 16
%P 6-11
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is herein proposed a handwritten digit recognition system which biologically inspired of the large-scale structure of the mammalian neocortex. Hierarchical Temporal Memory (HTM) is a memory-prediction network model that takes advantage of the Bayesian belief propagation and revision techniques. In this article a study has been conducted to train a HTM network to recognize handwritten digits and letters taken from the well-known Hoda dataset for Farsi handwritten digit. Results presented in this paper show good performance and generalization capacity of the proposed network for a real-world big dataset.

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Index Terms

Computer Science
Information Sciences

Keywords

Handwritten digit recognition hierarchical temporal memory (HTM) Hoda handwritten digits dataset.

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