By Topic

Matching and Retrieval of Tattoo Images: Active Contour CBIR and Glocal Image Features

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Acton, S.T. ; C.L. Brown Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA ; Rossi, A.

Tattoos provide an important source of biometric information, particularly in gang-related criminal activity. The goal of this paper is the formation of an image analysis tool to match tattoos and to retrieve similar tattoos from a tattoo database. First, an existing content based image retrieval (CBIR) approach for tattoos is reviewed. Then, a new active contour CBIR approach is detailed. This method incorporates vector field convolution active contours for tattoo segmentation, Haar wavelet decomposition for texture analysis, hue-saturation-value histograms for color representation and Fourier shape descriptors for shape characterization. Finally, the glocal (global-local) image feature approach is introduced. Results are provided for two datasets that include both recreational and prison/gang tattoos.

Published in:

Image Analysis and Interpretation, 2008. SSIAI 2008. IEEE Southwest Symposium on

Date of Conference:

24-26 March 2008