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Conference Paper Detection of Exit Number for the Blind at the Subway Station
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Authors
Ho-Sub Yoon, Jae Yeon Lee, Eun-Mi Ji
Issue Date
2010-05
Citation
International Conference on Computer Vision Theory and Applications (VISAPP) 2010, pp.1-4
Language
English
Type
Conference Paper
Abstract
This paper presents an approach for detecting the exit number to enhance the safety and mobility of blind people while walking around subway station. It is extremely important for a blind person to know whether a frontal area is a correct exit number or not. In a crossing at each exit roads, the usual black exit number is painted with blue circle contour that have white background in Taejon subway station. An image-based technique has been developed to detect the isolated number pattern at the crossing roads. The presences of exit numbers are inferred by careful analysis of numeral width, height, rate, number of numerals, as well as bandwidth trend. If we have several candidates of numerals, we adapt to the OCR function. Experimental evaluation of the proposed approach was conducted using several real images with and without exit roads. It was found that the proposed technique performed with good accuracy.
KSP Keywords
Image-based, White background, blind people, experimental evaluation, subway station