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A New Morphology-based Method for Text Detection in Image and Video

by Zaynab El Khattabi, Youness Tabii, Abdelhamid Benkaddour
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 13
Year of Publication: 2014
Authors: Zaynab El Khattabi, Youness Tabii, Abdelhamid Benkaddour
10.5120/18131-9251

Zaynab El Khattabi, Youness Tabii, Abdelhamid Benkaddour . A New Morphology-based Method for Text Detection in Image and Video. International Journal of Computer Applications. 103, 13 ( October 2014), 1-5. DOI=10.5120/18131-9251

@article{ 10.5120/18131-9251,
author = { Zaynab El Khattabi, Youness Tabii, Abdelhamid Benkaddour },
title = { A New Morphology-based Method for Text Detection in Image and Video },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 13 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number13/18131-9251/ },
doi = { 10.5120/18131-9251 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:34:25.789093+05:30
%A Zaynab El Khattabi
%A Youness Tabii
%A Abdelhamid Benkaddour
%T A New Morphology-based Method for Text Detection in Image and Video
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 13
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text supply crucial suggestions for understanding video content, also the information that the text convey is much more concise than corresponding audio or video. The reason is that we need language knowledge to understand the text, and the knowledge itself does not need to be embedded in the text data. Text streams contain very rich semantic information. How to effectively extract information from text is an important component in video content analysis and semantics research. In this paper, a new morphology-based method for text detection in image and video is proposed. It consists of three major stages. In the first stage, the input color image is converted to gray-scale, a morphological binary map is generated by calculating the difference between the closing image and the opening image, and a binarization is performed. In the second stage, candidate regions are connected by using a morphological dilation and erosion operations. In the last stage, the extracted regions are verified based on characteristic of text regions to eliminate non text regions.

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Index Terms

Computer Science
Information Sciences

Keywords

Information retrieval Text detection Morphology Text recongnition

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