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Implementation of PDF417 Two-Dimensional Barcode Decoder  

Hahn Hee Il (Department of Information and Communications Eng., Hankuk University of Foreign Studies)
Joung Joung Goo (Department of Information and Communications Eng., Hankuk University of Foreign Studies)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.1, 2004 , pp. 77-82 More about this Journal
Abstract
In this paper we present a barcode reader to decode two-dimensional symbology PDF417 and propose a novel method to extract the bar-space Patterns directly from the gray-level barcode image, which employs the location and the distance between extreme points of each row or column of the barcode image. This algerian proves to be very robust from the high convolutional distortion environments such as defocussing and warping, even under badly illuminating condition. If the scanned barcode image is a result of the convolution of a Gaussian-shaped point spread function with a hi-level image, popular image segmentation methods such as image thresholding can not distinguish between very narrow bar-space patterns. The Proposed algorithm shows improved Performance over current barcode readers.
Keywords
이차원 바코드;패턴인식;세그멘테이션;이미지와핑;오류정정부호화;
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  • Reference
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