International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 5, No. 7, 8 Jun. 2013
Cover page and Table of Contents: PDF (size: 644KB)
A Novel Container ISO Code Localization Using an Object Clustering Method with Opencv and Visual Studio Application
Full Text (PDF, 644KB), PP.54-63
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Author(s)
Ronesh Sharma
1,*
Seong Ro Lee
1
Index Terms
Object clustering, Opencv, Container code localization, Image segmentation, Container recognition
Abstract
An automatic container code recognition system is of a great importance to the logistic supply chain management. Techniques have been proposed and implemented for the ISO container code region identification and recognition, however those systems have limitations on the type of container images with illumination factor and marks present on the container due to handling in the mass environmental condition. Moreover the research is not limited for differentiating between different formats of code and color of code characters. In this paper firstly an object clustering method is proposed to localize each line of the container code region. Secondly, the localizing algorithm is implemented with opencv and visual studio to perform localization and then recognition. Thus for real time application, the implemented system has added advantage of being easily integrated with other web application to increase the efficiency of the supply chain management. The experimental results and the application demonstrate the effectiveness of the proposed system for practical use.
Cite This Paper
Ronesh Sharma,Seong Ro Lee,"A Novel Container ISO Code Localization Using an Object Clustering Method with Opencv and Visual Studio Application", IJIGSP, vol.5, no.7, pp.54-63, 2013. DOI: 10.5815/ijigsp.2013.07.08
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