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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(6): 468-472 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.362

Discontinuous Character Recognition Method in Variable Message Signs for Intelligent Transportation Systems

Wahyono, Han-Sung Park, and Kang-Hyun Jo
Abstract—Variable Message Signs (VMSs) are a key element of Intelligent Transportation Systems. The VMSs generally displays dynamic text information that each character consists of matrix of a light-emitting diodes lamp, named LED character. Compared with general printed text, the LED character is quite difficult to be recognized due to its discontinuity. Hence, this paper addresses a novel method for recognizing the LED character. Firstly, color segmentation is performed in order to distinguish foreground (i.e. text) and background. The supporting points (SP) represented the center of a segment are then acquired. For generating character region, these points are grouped based on their properties. Lastly, feature extraction is applied by dividing component into several blocks and counting the number of SP in the block. Afterwards, character template matching approach is implemented for recognizing component as certain alphanumeric. Experimental results evince that the proposed method is a robust to recognize the LED text.

Index Terms—Character template matching, LED text, intelligent transportation systems, variable message signs.

Wahyono and Han-Sung Park are with Graduate School of Electrical Engineering, University of Ulsan, Korea (e-mail: wahyono@islab.ulsan.ac.kr, hspark@islab.ulsan.ac.kr).
Kang-Hyun Jo is with School of Electrical Engineering, University of Ulsan, Korea (e-mail: acejo@ulsan.ac.kr).

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Cite:Wahyono, Han-Sung Park, and Kang-Hyun Jo, "Discontinuous Character Recognition Method in Variable Message Signs for Intelligent Transportation Systems," International Journal of Machine Learning and Computing vol.3, no. 6, pp. 468-472, 2013.

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