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Vision based Traffic Panel Text Information and Sign Retrieval


Author : Mounika Mantha and J Krishna Chaithanya

Pages : 2487-2491
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Abstract

We propose a novel system for the automatic detection and recognition of text in traffic sign boards. Maximally stable extremal regions (MSERs) and hue, saturation, and value color thresholding are used to locate a large number of candidates, which are then reduced by applying constraints based on temporal and structural information. A recognition stage interprets the text contained within detected candidate regions. Individual text characters are detected as MSERs and are grouped into lines, before being interpreted using optical character recognition (OCR).

Keywords: Maximally stable extremal regions (MSERs), hue, saturation, value color thresholding, Optical Character Recognition (OCR).

Article published in International Journal of Current Engineering and Technology, Vol.5, No.4 (Aug-2015)

 

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