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http://dx.doi.org/10.6109/jkiice.2015.19.9.2121

Barcode Region of Interest Extraction Method Using a Local Pixel Directions in a Multiple Barcode Region Image  

Cho, Hosang (Department of Electronic Engineering, Dong-A University)
Kang, Bongsoon (Department of Electronic Engineering, Dong-A University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.9, 2015 , pp. 2121-2128 More about this Journal
Abstract
In this paper presents a method of extracting reliable and regions of interest (ROI) in barcode for the purpose of factory automation. backgrounds are separated based on directional components and the characteristics of detected patterns. post-processing is performed on candidate images with analysis of problems caused by blur, rotation and areas of high similarity. In addition, the resizing factor is used to achieve faster calculations through image resizing. The input images contained multiple product or barcode for application to diverse automation environments; a high extraction success rate is accomplished despite the maximum shooting distance of 80 cm. Simulations involving images with various shooting distances gave an ROI detection rate of 100% and a post-processing success rate of 99.3%.
Keywords
Image Processing; Region of Interest; Automatic Identification; Barcode Pattern Information;
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