Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11666
Title: Application Of Hough Transform And Sub-Pixel Edge Detection In 1-D Barcode Scanning
Authors: Kapadia, Harsh
Patel, Alpesh
Keywords: EAN-13
Hough Transform
Sub-pixel Edge Detection
Interpolation
IC Faculty Paper
Faculty Paper
ITFIC017
ITFIC018
Issue Date: Jun-2013
Publisher: IJAREEIE
Series/Report no.: ITFIC017-3
Abstract: This paper predominantly emphases on two algorithms Hough Transform and the Sub-Pixel Edge Detection and their application on 1-Dimensional barcode scanning. The system is meant to verify Barcode on-line. It primarily focuses on two aspects of barcode verification. One is two detect the angle if barcode is skewed in the image and correct the same. The other is to detect the edges of a barcode in real time blurred image using sub-pixel edge detection. First of all we have explained the basic theory of 1-D barcode that was used i.e. EAN-13. Then the Hough Transform and Sub-Pixel Edge Detection are explained in detail. After that I have explained the need of both the algorithm in barcode verification. The paper also embraces MATLAB implementation steps of the system including both this algorithms with results.
Description: International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2 (6), June, 2013
URI: http://10.1.7.181:1900/jspui/123456789/4375
http://10.1.7.192:80/jspui/handle/123456789/11666
ISSN: 2320 – 3765
Appears in Collections:Faculty Papers, E&I

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