Tattoo Image Matching and Retrieval
Tattoo images on the human body have been routinely collected and used in law enforcement to
assist in suspect and victim identification. However, the current practice of matching
tattoos is based on keywords. Assigning keywords to individual tattoo images is both
tedious and subjective. We have developed a content-based image retrieval system for a
tattoo image database. The system automatically extracts image features based on the
Scale Invariant Feature Transform (SIFT). Side information, i.e., body location of
tattoos and tattoo classes, is utilized to improve the retrieval time and retrieval
accuracy. Geometrical constraints are also introduced in SIFT keypoint matching to reduce
A. K. Jain, R. Jin, and J.-E. Lee, "Tattoo Image Matching and Retrieval", IEEE Computer, Vol. 45, No. 5, pp. 93-96, May, 2012.
J-E. Lee, W. Tong, R. Jin, and A. K. Jain, "Image Retrieval in Forensics: Tattoo Image Database Application", IEEE Multimedia, Vol. 19, No. 1, pp. 40-49, 2012.
A. K. Jain, J.-E. Lee, R. Jin, N. Gregg, "Content Based Image Retrieval: An Application
to Tattoo Images", Proc. International Conference on Image Processing, Nov., 2009.