A framework of text detection and recognition from natural images for mobile device

Zied Selmi; Mohamed Ben Halima; Ali Wali; Adel M. Alimi

doi:10.1117/12.2268567

17 March 2017 A framework of text detection and recognition from natural images for mobile device

Zied Selmi, Mohamed Ben Halima, Ali Wali, Adel M. Alimi

Author Affiliations +

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034127 (2017) https://doi.org/10.1117/12.2268567
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

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.

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Zied Selmi, Mohamed Ben Halima, Ali Wali, and Adel M. Alimi "A framework of text detection and recognition from natural images for mobile device", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034127 (17 March 2017); https://doi.org/10.1117/12.2268567

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