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http://dx.doi.org/10.3745/KIPSTD.2002.9D.5.915

A Study on High-Speed Extraction of Bar Code Region for Parcel Automatic Identification  

Park, Moon-Sung (한국전자통신연구원 우성기술연구센터)
Kim, Jin-Suk (한국전자통신연구원 우성기술연구센터)
Kim, Hye-Kyu (한국전자통신연구원 우성기술연구센터)
Jung, Hoe-Kyung (배재대학교 컴퓨터공학과)
Abstract
Conventional Systems for parcel sorting consist of two sequences as loading the parcel into conveyor belt system and post-code input. Using bar code information, the parcels to be recorded and managed are recognized. This paper describes a 32 $\times$ 32 sized mini-block inspection to extract bar code Region of Interest (ROI) from the line Charged Coupled Device (CCD) camera capturing image of moving parcel at 2m/sec speed. Firstly, the Min-Max distribution of the mini-block has been applied to discard the background of parcel and region of conveying belts from the image. Secondly, the diagonal inspection has been used for the extraction of letters and bar code region. Five horizontal line scanning detects the number of edges and sizes and ROI has been acquired from the detection. The wrong detected area has been deleted by the comparison of group size from labeling processes. To correct excluded bar code region in mini-block processes and for analysis of bar code information, the extracted ROI 8 boundary points and decline distribution have been used with central axis line adjustment. The ROI extraction and central axis creation have become enable within 60~80msec, and the accuracy has been accomplished over 99.44 percentage.
Keywords
Automatic Identification; Region of Interest; Bar Code; Parcel; High-Speed Image Processing;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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