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Textual Characters Detection in Complex Scene Images based on Bradley Thresholding Technique in Compare with Statistical Thresholding Technique

by Abdel-Rahiem A. Hashem, Ahmed I. Taloba, Majid A. Askar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 36
Year of Publication: 2023
Authors: Abdel-Rahiem A. Hashem, Ahmed I. Taloba, Majid A. Askar
10.5120/ijca2023923158

Abdel-Rahiem A. Hashem, Ahmed I. Taloba, Majid A. Askar . Textual Characters Detection in Complex Scene Images based on Bradley Thresholding Technique in Compare with Statistical Thresholding Technique. International Journal of Computer Applications. 185, 36 ( Oct 2023), 47-53. DOI=10.5120/ijca2023923158

@article{ 10.5120/ijca2023923158,
author = { Abdel-Rahiem A. Hashem, Ahmed I. Taloba, Majid A. Askar },
title = { Textual Characters Detection in Complex Scene Images based on Bradley Thresholding Technique in Compare with Statistical Thresholding Technique },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2023 },
volume = { 185 },
number = { 36 },
month = { Oct },
year = { 2023 },
issn = { 0975-8887 },
pages = { 47-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number36/32926-2023923158/ },
doi = { 10.5120/ijca2023923158 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:58.495223+05:30
%A Abdel-Rahiem A. Hashem
%A Ahmed I. Taloba
%A Majid A. Askar
%T Textual Characters Detection in Complex Scene Images based on Bradley Thresholding Technique in Compare with Statistical Thresholding Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 36
%P 47-53
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Thresholding is an important process required to most tasks in computer vision especially characters’ detection from scene images. So, in this paper, we focus to enhance our previous model which is used to detect the characters from scene images and has proven superior to most existing methods. This improvement is fulfilled by replacing the thresholding method in the entire model in the stage of converting the grayscale image into the binary one. The new thresholding method is known by Bradley method. Although our previous model got better when we use Bradley thresholding, the number of false detections still less than in the case of using our previous thresholding method in the entire designed model.

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Index Terms

Computer Science
Information Sciences

Keywords

Thresholding techniques Characters detection Naïve Bayes classifier Connected-components analysis Bradley thresholding

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