The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.01 - January-March (2012 vol.19)
pp: 40-49
Jung-Eun Lee , Michigan State University
Rong Jin , Michigan State University
Anil K. Jain , Michigan State University
Wei Tong , Carnegie Mellon University
ABSTRACT
<p>Two modifications to the Tattoo-ID system, based on automatic content-based image retrieval, help improve its retrieval accuracy, particularly for low-quality tattoo image queries.</p>
INDEX TERMS
multimedia, near-duplicate image retrieval, forensic databases, biometrics, tattoo images, Tattoo-ID system
CITATION
Jung-Eun Lee, Rong Jin, Anil K. Jain, Wei Tong, "Image Retrieval in Forensics: Tattoo Image Database Application", IEEE MultiMedia, vol.19, no. 1, pp. 40-49, January-March 2012, doi:10.1109/MMUL.2011.59
REFERENCES
1. A.K. Jain, S.C. Dass, and K. Nandakumar, "Can Soft Biometric Traits Assist User Recognition?" Proc. SPIE Conf. Biometric Technology for Human Identification, vol. 5404, 2004, pp. 561-572.
2. "Next Generation Identification," US Fed. Bureau of Investigation, www.fbi.gov/about-us/cjis/ fingerprints_biometrics ngi.
3. J.-P. Beauthier, P. Lefevre, and E.D. Valck, "Autopsy and Identification Techniques," The Tsunami Threat-Research and Technology, N.-A. Mörner ed., InTech, 2011.
4. A. Laumann, and A. Derick, "Tattoos and Body Piercings in the United States: A National Data Set," J. Am. Academy of Dermatology, vol. 55, no. 3, 2006, pp. 413-421.
5. ANSI/NIST-ITL 1-2011, Data Format for the Interchange of Fingerprint, Facial, & Scar Mark & Tattoo (SMT), Nat'l Inst. Standards and Technology, 2011.
6. J.-E. Lee, A.K. Jain, and R. Jin, "Scars, Marks and Tattoos (SMT): Soft Biometric for Suspect and Victim Identification," Proc. Biometric Symp. (BSYM 08), IEEE Press, 2008, pp. 1-8.
7. A.K. Jain et al., "Content-Based Image Retrieval: An Application to Tattoo Images," Proc. 16th IEEE Int'l Conf. Image Processing (ICIP 09), IEEE Press, 2009, pp. 2745-2748.
8. J.-E. Lee, R. Jin, and A.K. Jain, "Unsupervised Ensemble Ranking: Application to Large-Scale Image Retrieval," Proc. 20th Int'l Conf. Pattern Recognition (ICPR 10), IEEE CS Press, 2010, pp. 3902-3096.
9. "MorphoTrak Acquires Innovative Tattoo Matching Technology from Michigan State University," Business Wire,15 Nov. 2011; http://findarticles.com/p/articles/mi_m0EIN/ is_20100119ai_n48674730.
10. S.T. Acton and A. Rossi, "Matching and Retrieval of Tattoo Images: Active Contour CBIR and Global Image Features," Proc. IEEE Southwest Symp. Image Analysis and Interpretation, IEEE CS Press, 2008, pp. 21-24.
11. R. Datta et al., "Image Retrieval: Ideas, Influences, and Trends of the New Age," ACM Computing Surveys, vol. 40, no. 2, 2008, pp. 1-60.
12. D. Lowe, "Distinctive Image Features from Scale Invariant Keypoints," Int'l J. Computer Vision, vol. 60, no. 2, 1999, pp. 91-110.
13. K. Mikolajczyk and C. Schmid, "A Performance Evaluation of Local Descriptors," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 10, 2005, pp. 1615-1630.
14. G.A. Miller, "WordNet: A Lexical Database for English," Comm. ACM, vol. 38, no. 11, 1995, pp. 39-41.
15. W. Tong et al., "Gang and Moniker Identification by Graffiti Matching," Proc. Int'l ACM Workshop Multimedia in Forensics and Intelligence (MiFor), ACM Press, 2011.
23 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool