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A New String Matching Algorithm and its Application in Hand-Written Digits Recognition

by Mehrnoosh Bazrafkan, Ali Broumandnia
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 17
Year of Publication: 2013
Authors: Mehrnoosh Bazrafkan, Ali Broumandnia
10.5120/12158-7944

Mehrnoosh Bazrafkan, Ali Broumandnia . A New String Matching Algorithm and its Application in Hand-Written Digits Recognition. International Journal of Computer Applications. 70, 17 ( May 2013), 13-16. DOI=10.5120/12158-7944

@article{ 10.5120/12158-7944,
author = { Mehrnoosh Bazrafkan, Ali Broumandnia },
title = { A New String Matching Algorithm and its Application in Hand-Written Digits Recognition },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 17 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number17/12158-7944/ },
doi = { 10.5120/12158-7944 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:34:17.077604+05:30
%A Mehrnoosh Bazrafkan
%A Ali Broumandnia
%T A New String Matching Algorithm and its Application in Hand-Written Digits Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 17
%P 13-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a new algorithm is introduced for syntactic pattern recognition and string matching by using linked listdata structure which later could be used for hand written digits recognition. At first,handwritten digits are changed to string as input pattern by using chain-codethen the achieved string is recognized by using refer algorithm being implemented by linked list. This refer algorithm is able to compute the distance between the chain code strings shown in the implementation. The suggested algorithm reduces time complexity oflevenshtein's algorithm from second-order to linear-orderand in addition is able to decrease the consumption memory and increase accuracy of handwritten digits recognition as well. Our proposed implemented algorithm has 94. 8% accuracy over 3000 handwritten digits samples

References
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Index Terms

Computer Science
Information Sciences

Keywords

handwritten digits chain-code syntactic pattern recognition string matching linked list data structure dynamic programming time complexity

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