抽象的

APPLICATION OF HOUGH TRANSFORM AND SUB-PIXEL EDGE DETECTION IN 1-D BARCODE SCANNING

Harsh Kapadia, Alpesh Patel

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.