Environmental and Chemical Engineering

Recognition of Beverage Bottles Based on Corner and Local Features

Expand
  • School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China

Received date: 2009-11-30

  Online published: 2011-06-24

Abstract

In this work, the machine vision technique is introduced into an automated beverage bottle reclaiming system. Based on the characteristics of beverage bottles made of PET materials, local features and geometrical invariability, we extract the corner points at subpixel accuracy, define the curve angle around the central corner and its sign as the eigenvalues of a beverage bottle, and propose a blockmatching algorithm. Experimental results show that the algorithm is stable, and has good discrimination capability, high recognition rate and fast computation speed. It can meet the requirements of reclaiming beverage bottles accurately in real time.

Cite this article

HUANG Dong-Jin, ZHANG Qian, WU Jiong, DING You-Dong . Recognition of Beverage Bottles Based on Corner and Local Features[J]. Journal of Shanghai University, 2011 , 17(3) : 238 -242 . DOI: 10.3969/j.issn.1007-2861.2011.03.004

Outlines

/