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An Application of the Checkstand Antitheft System by Means of the Image Recognition Technique

Authors:
Sung Min Hong
Dong Ryoung Seo
Dong Sin Kim
Do Won Hyun
Ju Wook Jang

Keywords: Using motion vector; Clustering; Image recongnization; Application implementation

Abstract:
This study aims to develop an application to recognize any missing barcode scan despite normal scanning motion by means of the video image processing algorithm in order to prevent an omission of product barcode scanning, intentional or mistaken, by a checkstand. The algorithm that searches for a barcode from a moving object in a video is divided into two steps: the step of extracting the moving object from a video; the step of extracting a barcode of the moving object. The process of extracting moving objects consists of blocking the video frame images, calculating motion vectors of each block, and clustering vectors of similar direction and size in the order. The process of extracting a barcode from a moving object includes the step of changing the color of the moving object image to that of the HSL color model, selecting areas, part of whose block is colorless, for the portion to be scanned for the barcode, and recognizing the barcode when the portion consists of a certain number of blocks in the order. The application has been developed by means of this algorithm for Microsoft Windows. If no barcode scan output is found even though the scan motion was normally implemented, this application will check if the barcode exists and prevents barcode omission from taking place at checkstands of a discount outlet.

Pages: 131 to 135

Copyright: Copyright (c) IARIA, 2012

Publication date: June 24, 2012

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-202-8

Location: Venice, Italy

Dates: from June 24, 2012 to June 29, 2012