Authors:
Hee Il Hahn
and
Jung Goo Jung
Affiliation:
Hankuk University of Foreign Studies, Korea, Republic of
Keyword(s):
Two-dimensional barcode, Segmentation, Error correction code, Warping.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
In this paper we introduce a method to extract the bar-space patterns directly from the gray-level two-dimensional barcode images, which employs the location and the distance between extreme points of profiles scanned from the barcode image. This algorithm proves to be very robust from the high convolutional distortion environments such as defocussing and warping, even under badly illuminating condition. The proposed algorithm shows excellent performance and is implemented in real-time.