A linear manifold color descriptor for medicine package recognition

Kenjiro Sugimoto, Koji Inoue, Yoshimitsu Kuroki, Sei Ichiro Kamata

研究成果: Article

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This paper presents a color-based method for medicine package recognition, called a linear manifold color descriptor (LMCD). It describes a color distribution (a set of color pixels) of a color package image as a linear manifold (an affine subspace) in the color space, and recognizes an anonymous package by linear manifold matching. Mainly due to low dimensionality of color spaces, LMCD can provide more compact description and faster computation than description styles based on histogram and dominant-color. This paper also proposes distance-based dissimilarities for linear manifold matching. Specially designed for color distribution matching, the proposed dissimilarities are theoretically appropriate more than J-divergence and canonical angles. Experiments on medicine package recognition validates that LMCD outperforms competitors including MPEG-7 color descriptors in terms of description size, computational cost and recognition rate.

元の言語English
ページ(範囲)1264-1271
ページ数8
ジャーナルIEICE Transactions on Information and Systems
E95-D
発行部数5
DOI
出版物ステータスPublished - 2012 5

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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