Real-Time display recognition system for visually impaired

Authors:
Irati Rasines;Pedro Iriondo;Ibai Díez
Affiliations:
TECNALIA. HealthTech Unit., Parque Tecnológico de Bizkaia, Zamudio, Spain;Department of Systems and Automation Engineering, University of the Basque Country, Bilbao, Spain;TECNALIA. HealthTech Unit., Parque Tecnológico de Bizkaia, Zamudio, Spain
Venue:
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
Year:
2012

Citing 2
Cited 0

Unsupervised learning

Unsupervised learning
Real-time detection and reading of LED/LCD displays for visually impaired persons

WACV '11 Proceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV)

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Abstract

Currently, electronic devices incorporating displays to present the information to the user are ubiquitous common, and visually impaired people might have problems to use these devices. This article focuses on developing a real time display detector and digital character recognition application using techniques based on the connected components approach. The display zone detection accuracy rate is about 85% and the recognition rate greater than 88%. The system was implemented on both a desktop and a cell phone.