Color Features for Image Fingerprinting | Zendy

Marios A. Gavrielides | Zendy; Elena Šikudová | Zendy; Dimitris Spachos | Zendy; Ioannis Pitas | Zendy

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Color Features for Image Fingerprinting

Author(s) -

Marios A. Gavrielides,

Elena Šikudová,

Dimitris Spachos,

Ioannis Pitas

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-34117-X

DOI - 10.1007/11752912_53

Subject(s) - artificial intelligence , computer science , pattern recognition (psychology) , computer vision , chromatic scale , color histogram , palette (painting) , histogram , image processing , image (mathematics) , similarity (geometry) , color normalization , color image , mathematics , combinatorics , operating system

Image fingerprinting systems aim to extract unique and robust image descriptors (in analogy to human fingerprints). They search for images that are not only perceptually similar but replicas of an image generated through mild image processing operations. In this paper, we examine the use of color descriptors based on a 24-color quantized palette for image fingerprinting. Comparisons are provided between different similarity measures methods as well as regarding the use of color-only and spatial chromatic histograms.

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