Current Projects

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 false retrievals.

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.