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Proceedings Paper

A new method for text detection and recognition in indoor scene for assisting blind people
Author(s): Hanen Jabnoun; Faouzi Benzarti; Hamid Amiri
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Paper Abstract

Developing assisting system of handicapped persons become a challenging ask in research projects. Recently, a variety of tools are designed to help visually impaired or blind people object as a visual substitution system. The majority of these tools are based on the conversion of input information into auditory or tactile sensory information. Furthermore, object recognition and text retrieval are exploited in the visual substitution systems. Text detection and recognition provides the description of the surrounding environments, so that the blind person can readily recognize the scene. In this work, we aim to introduce a method for detecting and recognizing text in indoor scene. The process consists on the detection of the regions of interest that should contain the text using the connected component. Then, the text detection is provided by employing the images correlation. This component of an assistive blind person should be simple, so that the users are able to obtain the most informative feedback within the shortest time.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034123 (17 March 2017); doi: 10.1117/12.2268399
Show Author Affiliations
Hanen Jabnoun, Univ. of Tunis El Manar (Tunisia)
Faouzi Benzarti, Univ. of Tunis El Manar (Tunisia)
Hamid Amiri, Univ. of Tunis El Manar (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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