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http://dx.doi.org/10.12815/kits.2019.18.6.241

A Study on the Improvement of Automatic Text Recognition of Road Signs Using Location-based Similarity Verification  

Chong, Kyusoo (Dept. of Future Technology and Convergence Research, Korea Institute of Civil Engineering and Building Technology)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.18, no.6, 2019 , pp. 241-250 More about this Journal
Abstract
Road signs are guide facilities for road users, and the Ministry of Land, Infrastructure and Transport has established and operated a system to enhance the convenience of managing these road signs. The role of road signs will decrease in the future autonomous driving, but they will continue to be needed. For the accurate mechanical recognition of texts on road signs, automatic road sign recognition equipment has been developed and it has applied image-based text recognition technology. Yet there are many cases of misrecognition due to irregular specifications and external environmental factors such as manual manufacturing, illumination, light reflection, and rainfall. The purpose of this study is to derive location-based destination names for finding misrecognition errors that cannot be overcome by image analysis, and to improve the automatic recognition of road signs destination names by using Levenshtein similarity verification method based on phoneme separation.
Keywords
Road sign; Autonomous driving; Spacial information; Text recognition; Destination name similarity;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Chong K. S.(2014), "Text Area Detection of Road Sign Images based on IRBP Method," The Journal of the Korea Institute of Intelligent Transport Systems, vol. 13, no. 6, pp.1-9.   DOI
2 Gomez-Moreno H., Maldonado-Bascon S., Gil-Jimenez P. and Lafuente-Arroyo S.(2010), "Goal evaluation of segmentation algorithms for traffic sign recognition," IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 4, pp.917-930.   DOI
3 Greenhalgh J. and Mirmehdi M.(2012), "Real-time detection and recognition of road traffic signs," IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 4, pp.1498-1506.   DOI
4 Im C. J. and Kim D. W.(2007), "Real-Time Traffic Information and Road Sign Recognitions of Circumstance on Expressway for Vehicles in C-ITS Environments," Journal of The Institute of Electronics and Information Engineers, vol. 54, no. 1, pp.55-69.   DOI
5 Maldonado-Bascon S., Lafuente-Arroyo S., Gil-Jimenez P. and Gomez-Moreno H.(2007), "Road-Sign Detection and Recognition Based on Support Vector Machines," IEEE transaction on Intelligent Transportation System, vol. 8, no. 2, pp.264-278.   DOI
6 MOLIT(2016), Road Sign Regulation, pp.215-280.
7 Oh J., Kwak H. and Kim W.(2008), "Recognition of Traffic Signs using Wavelet Transform and Shape Information," IEIE-SP Journal, vol. 41, no. 5, pp.125-134.
8 Sathiya S. et al.(2013), "Automatic Detection and Segmentation of Text in Signages," IJREAT International Journal of Research in Engineering & Advanced Technology, vol. 1, Iss. 1.
9 Park S.-Y. et al.(2001), "A Study on the Extraction of Character from a Calling Card by using Contour Tracking Algorithm," Proceedings of the Korea Information Processing Society Conference, pp.723-726.
10 Road Sign Management System, http://www.korearoadsign.go.kr.
11 Shneier M.(2005), "Road Sign Detection and Recognition," IEEE Computer Society International Conference on Computer Vision and Pattern Recognition.
12 Song J.-H. et al.(2010), "Extraction of car license plate based on edge detection and character recognition," Korea Multimedia Society, pp.439-442.
13 Yoon C., Jang S. and Park M.(2009), "Real-Time Road Sign Detection Using Vertical Plane and Adaboost," IEIE-SC Journal, vol. 46, no. 5, pp.29-37.
14 Zakir U. et al.(2011), "Road Sign Detection and Recognition by Using Local Energy based Shape Histogram (LESH)," International Journal of Image Processing(IJIP), vol. 4, Iss. 6, pp.566-582.
15 Zhu S., Liu L. and Lu X.(2006), "Color-geometric model for traffic sign recognition," Computational Engineering in Systems Applications, IMACS Multiconference on, vol. 2, pp.2028-2032.