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Proceedings Paper

A framework of text detection and recognition from natural images for mobile device
Author(s): Zied Selmi; Mohamed Ben Halima; Ali Wali; Adel M. Alimi
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Paper Abstract

On the light of the remarkable audio-visual effect on modern life, and the massive use of new technologies (smartphones, tablets ...), the image has been given a great importance in the field of communication. Actually, it has become the most effective, attractive and suitable means of communication for transmitting information between different people. Of all the various parts of information that can be extracted from the image, our focus will be particularly on the text. Actually, since its detection and recognition in a natural image is a major problem in many applications, the text has drawn the attention of a great number of researchers in recent years. In this paper, we present a framework for text detection and recognition from natural images for mobile devices.

Paper Details

Date Published: 17 March 2017
PDF: 6 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034127 (17 March 2017); doi: 10.1117/12.2268567
Show Author Affiliations
Zied Selmi, Univ. de Sfax (Tunisia)
Mohamed Ben Halima, Univ. de Sfax (Tunisia)
Ali Wali, Univ. de Sfax (Tunisia)
Adel M. Alimi, Univ. de Sfax (Tunisia)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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