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Tifinagh Document Segmentation based on Texture Attributes

by Yassine Chajri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 80
Year of Publication: 2025
Authors: Yassine Chajri
10.5120/ijca2025924738

Yassine Chajri . Tifinagh Document Segmentation based on Texture Attributes. International Journal of Computer Applications. 186, 80 ( Apr 2025), 40-44. DOI=10.5120/ijca2025924738

@article{ 10.5120/ijca2025924738,
author = { Yassine Chajri },
title = { Tifinagh Document Segmentation based on Texture Attributes },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2025 },
volume = { 186 },
number = { 80 },
month = { Apr },
year = { 2025 },
issn = { 0975-8887 },
pages = { 40-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number80/tifinagh-document-segmentation-based-on-texture-attributes/ },
doi = { 10.5120/ijca2025924738 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-04-26T02:19:35.301954+05:30
%A Yassine Chajri
%T Tifinagh Document Segmentation based on Texture Attributes
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 80
%P 40-44
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text-graphic segmentation is a crucial step in document analysis pipeline, particularly for documents that contain a combination of textual content and graphical elements. This paper presents an approach for effectively segmenting text and graphic components in Tifinagh (alphabet used to write Amazigh language) documents. The proposed method consists of using the texture attribute to effectively detect and extract textual areas and graphical objects. Precisely, it is based on the design of two Gabor filter banks, where the first is configured with high frequencies to identify texts, and the second is designed to detect graphical components using low frequencies.

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Index Terms

Computer Science
Information Sciences

Keywords

Tifinagh-Segmentation-Gabor filter- K-means

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