Abstract
Tattoos are used by law enforcement agencies for identification of a victim or a suspect using a false identity. Current method for matching tattoos is based on human-assigned class labels that is time consuming, subjective and has limited performance. It is desirable to build a content-based image retrieval (CBIR) system for automatic matching and retrieval of tattoos. We examine several key design issues related to building a prototype CBIR system for tattoo image database. Our system computes the similarity between the query and stored tattoos based on image content to retrieve the most similar tattoos. The performance of the system is evaluated on a database of 2,157 tattoos representing 20 different classes. Effects of segmentation errors, image transformations (e.g., blurring, illumination), influence of semantic labels and relevance feedback are also studied.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A Brief History of Tattoos, http://www.designboom.com/history/tattoo_history.html
Tattoo Facts and Statistics (October 2006), http://www.vanishingtattoo.com/tattoo_facts.htm
Jain, A.K., Dass, S.C., Nandakumar, K.: Can Soft Biometric Traits Assist User Recognition? In: Proc. SPIE, Orlando, vol. 5404, pp. 561–572 (April 2004)
Lipton, E., Glanz, J.: Limits of DNA Research Pushed to Identify the Dead of Sept. 11, NY Times (April 22, 2002)
Decay Challenges Forensic Skills, The Standard-Times (January 8, 2005)
Burma, J.H.: Self-Tattooing among Delinquents: A Research Note, Sociology and Social Research 43, 341–345 (1959)
Texas Prison Tattoo, http://www.foto8.com/issue09/reportage/AndrewLichtenstein/prisontattoos01.html
Prison Tattoos and Their Meaning, http://www.tattoo-designs.dk/prison-tattoos.html
ANSI/NIST-ITL 1-2007 standard: Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information (2007)
GangNet: A 21st Century Solution to the Gang Problem (December 2006) http://psd.orionsci.com/Products/Gangnet.asp
Long, F., Zhang, H.J., Feng, D.D.: Fundamentals of Content-Based Image Retrieval. In: Multimedia Information Retrieval and Management- Technological Fundamentals and Applications, Springer, Heidelberg (2003)
Jain, A.K., Vailaya, A.: Shape-Based Retrieval: A Case Study with Trademark Image Databases. Pattern Recognition 31(9), 1369–1390 (1998)
Shih, P., Liu, C.: Comparative Assessment of Content-Based Face Image Retrieval in Different Color Spaces. International Journal of Pattern Recognition and Artificial Intelligence 19(7), 873–893 (2005)
Online Tattoo Designs, http://www.tattoodesing.com/gallery/
Huang, J., Kumar, S.R, Mitra, M., Zhu, W., Zabih, R.: Image Indexing using Color Correlogram. In: Proc. IEEE Computer Society Conf. on CVPR, pp. 762–768 (1997)
Hu, M.K.: Visual Pattern Recognition by Moment Invariants. IEEE Trans. Information Theory 8, 179–187 (1962)
Swain, M.J., Ballard, D.H.: Indexing via Color Histograms. In: Proc. 3rd International Conference on Computer Vision, pp. 309–393 (1990)
Rui, Y., Huang, T.S., Ortega, M., Mehrotra, S.: Relevance Feedback: A Power Tool in Interactive Content-based Image Retrieval. IEEE Trans. on Circuits and Systems for Video Technology 8(5), 644–655 (1998)
Flickner, M., Sawhney, H., Niblack, W., Ashley, J., Huang, Q., Dom, B., Gorkani, M., Hafner, J., Lee, D., Petkovicand, D., Steele, D., Yanker, P.: Query by Image and Video Content: The QBIC system. IEEE Computer 38, 23–31 (1995)
Moon, H., Phillips, P.J.: Computational and Performance Aspects of PCA-based Face Recognition Algorithms. Perception 30, 303–321 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jain, A.K., Lee, JE., Jin, R. (2007). Tattoo-ID: Automatic Tattoo Image Retrieval for Suspect and Victim Identification. In: Ip, H.HS., Au, O.C., Leung, H., Sun, MT., Ma, WY., Hu, SM. (eds) Advances in Multimedia Information Processing – PCM 2007. PCM 2007. Lecture Notes in Computer Science, vol 4810. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77255-2_28
Download citation
DOI: https://doi.org/10.1007/978-3-540-77255-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77254-5
Online ISBN: 978-3-540-77255-2
eBook Packages: Computer ScienceComputer Science (R0)