A Linear Manifold Color Descriptor for Medicine Package Recognition

• SUGIMOTO Kenjiro

  Graduate School of Information, Production and Systems, Waseda University

• INOUE Koji

  Kurume National College of Technology

• KUROKI Yoshimitsu

  Kurume National College of Technology

• KAMATA Sei-ichiro

  Graduate School of Information, Production and Systems, Waseda University

抄録

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.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E95.D (5), 1264-1271, 2012

  一般社団法人 電子情報通信学会

キーワード

• low-level color descriptor
• linear manifold
• medicine package recognition

詳細情報

• CRID: 1390001204377874176
• NII論文ID: 10030942603
• NII書誌ID: AA10826272
• DOI: 10.1587/transinf.e95.d.1264
• BIBCODE: 2012IEITI..95.1264S
• ISSN: 17451361
• ISSN: 09168532
• Web Site: https://www.jstage.jst.go.jp/article/transinf/E95.D/5/E95.D_5_1264/_pdf
• 本文言語コード: en
• データソース種別:
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