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http://dx.doi.org/10.13067/JKIECS.2015.10.1.139

An Effective Method of Product Number Detection from Thick Plates  

Park, Sang-Hyun (순천대학교 멀티미디어공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.10, no.1, 2015 , pp. 139-148 More about this Journal
Abstract
In this paper, a new algorithm is proposed for detecting the product number of each thick plate and extracting each character of the product number from a image which contains several thick plates. In general, a image of thick plates contains several steal plates. To obtain the product number from the image, we first need to separate each plate. To do so, we use the line edges of thick plates and a clustering algorithm. After separating each plate, background parts are eliminated from the image of each plate. Background parts of an individual thick plate image consist of the dark part of steel and the white part of paint which is used for printing the product number. We propose a two-tiered method where dark background parts are first eliminated and then white parts are eliminated. Finally, each character is extracted from the product number image using the characteristics of product number. The results of the experiments on the various steal plates images emphasize that the proposed algorithm detects each thick plate and extracts the product number from a image effectively.
Keywords
Thick Plate Detection; Pattern Recognition; Line Detection; Character Detection;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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