Abstract
Scientific evidence supporting fingerprint individuality (i.e., quantifying the extent of uniqueness of a fingerprint) is being increasingly demanded, particularly in forensic applications when a suspect is tried for conviction in a court of law. This has generated interest in designing fingerprint individuality models which will quantify the evidential value of fingerprints. This chapter introduces both theoretical and empirical studies on fingerprint individuality: the former is based on statistical models taking into account inter-class and intra-class pattern variations, the latter relying on modeling match (similarity) scores (given a matcher and a corpus of operational fingerprint data). Fingerprint persistence over time is finally addressed in the last section of the chapter.
Portions reprinted with permission from IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 8, pp. 1010–1025, 2002. © 2002 IEEE.
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References
Amy, L. (1948). Recherches sur l’identification des traces papillaries. Annales de Medecine Legale, 28(2), 96–101.
Balthazard, V. (1911). De l’identification par les empreintes digitales. Comptes Rendus des Seances de l’Academie des Sciences, 152, 1862–1864.
Bose, H. C. (1917). Hints on finger-prints with a telegraphic code for finger impressions. Calcutta/Simla: Thacker Spink and Company.
Champod, C., & Margot, P. A. (1996). Computer assisted analysis of minutiae occurrences on fingerprints. In J. Almog & E. Spinger (Eds.), Proceedings of Internaional Symposium on Fingerprint Detection and Identification, (pp. 305). Israel National Police, Jerusalem
Chen, J., & Moon, Y. S. (2008). The statistical modelling of fingerprint minutiae distribution with implications for fingerprint individuality studies. In Proceedings of International Conferences on Computer Vision and Pattern Recognition (CVPR08) (pp. 1–7).
Cole, S. A. (2001a). What counts for identity? Fingerprint Whorld, 27(103), 7–35.
Cole, S. A. (2001b). Suspect identities: A history of fingerprint and criminal identification. Cambridge, Harvard University Press.
Cole, S. A. (2005). More than zero: Accounting for error in latent fingerprint identification. The Journal of Criminal Law & Criminology, 95(3), 985–1078.
Cummins, H., & Midlo, C. (1943). Fingerprints, palms and soles. Dover.
Daugman, J. (1999). Recognizing persons by their iris patterns. In A. K. Jain, R. Bolle, & S. Pankanti (Eds.), Biometrics: Personal identification in a networked society. Kluwer.
Daugman, J. (2015). Information theory and the IrisCode. IEEE Transactions on Information Forensics and Security, 11(2), 400–409.
Egli, N. M., Champod, C., & Margot, P. (2007). Evidence evaluation in fingerprint comparison and automated fingerprint identification systems - Modelling within finger variability. Forensic Science International, 167(2–3), 189–195.
Galton, F. (1892). Finger prints. Macmillan.
Golfarelli, M., Maio, D., & Maltoni, D. (1997). On the error-reject tradeoff in biometric verification systems. IEEE Transactions on Pattern Analysis Machine Intelligence, 19(7), 786–796.
Gupta, S. R. (1968). Statistical survey of ridge characteristics. International Criminal Police Review, 218(130).
Haber, L., & Haber, R. N. (2004). Error rates for human latent fingerprint examiners. In N. Ratha, & R. Bolle (Eds.), Automatic fingerprint recognition systems. Springer.
Henry, E. (1900). Classification and uses of finger prints. Routledge.
Houck, M. M., & Siegel, J. A. (2009). Fundamentals of forensic science (2nd ed.). Academic Press.
Jain, A. K., Hong, L., Pankanti, S., & Bolle, R. (1997). An identity authentication system using fingerprints. Proceedings of the IEEE, 85(9), 1365–1388.
Jain, A. K., Prabhakar, S., & Pankanti, S. (2001). Twin test: On discriminability of fingerprints. In Proceedings of International Conferences on Audio- and Video-Based Biometric Person Authentication (3rd ed.).
Jain, A. K., Prabhakar, S., & Pankanti, S. (2002). On the similarity of identical twin fingerprints. Pattern Recognition, 35(11), 2653–2663.
Kingston, C. (1964). Probabilistic analysis of partial fingerprint patterns, Ph.D. Thesis, University of California.
Lim, C. Y., & Dass, S. C. (2011). Assessing fingerprint individuality using EPIC: A case study in the analysis of spatially dependent marked processes. Technometrics, 53(2), 112–124.
Lin, C. H., Liu, J. H., Ostenberg, J. W., & Nicol, J. D. (1982). Fingerprint comparison I: Similarity of fingerprints. Journal of Forensic Sciences, 27(2), 290–304.
Maio, D., Maltoni, D., Cappelli, R., Wayman, J. L., & Jain, A. K. (2002). FVC2002: Second fingerprint verification competition. In Proceedings of International Conferences on Pattern Recognition (16th ed.).
Meagher, S. B., Buldowle, B., & Ziesig, D. (1999). 50K fingerprint comparison test, United States of America vs. Byron Mitchell – U.S. District Court Eastern District of Philadelphia. Government Exhibits 6–8 and 6–9 in Daubert Hearing before Judge J. Curtis Joyner, July 8–9, 1999.
Monson, K. L., Roberts, M. A., Knorr, K. B., Ali, S., Meagher, S. B., Biggs, K., Blume, P., Brandelli, D., Marzioli, A., Reneau, R., & Tarasi, F. (2019). The permanence of friction ridge skin and persistence of friction ridge skin and impressions: A comprehensive review and new results. Forensic Science International, 297, 111–131.
Nagar, A., Choi, H., & Jain, A. K. (2012). Evidential value of automated latent fingerprint comparison: An empirical approach. IEEE Transactions on Information Forensics and Security, 7(6), 1752–1765.
Neumann, C., Champod, C., Puch-Solis, R., Egli, N., Anthonioz, A., Meuwly, D., & Bromage-Griffiths, A. (2006). Computation of likelihood ratios in fingerprint identification for configurations of three minutiae. Journal of Forensic Sciences, 51(6), 1255–1266.
Newman, A. (2001). Fingerprinting’s reliability draws growing court challenges. The New York Times.
NRC. (2009). National Research Council. In Strengthening forensic science in the United States: A path forward. National Academies Press.
Osterburg, J. W. (1964). An inquiry into the nature of proof: The identity of fingerprints. Journal of Forensic Sciences, 9(4), 413–427.
Osterburg, J., Parthasarathy, T., Raghaven, T., & Sclove, S. (1977). Development of a mathematical formula for the calculation of fingerprint probabilities based on individual characteristic. Journal American Statistic Association, 72(360a), 772–778.
Pankanti, S., Prabhakar, S., & Jain, A. K. (2002). On the individuality of fingerprints. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(8), 1010–1025.
Pearson, K. (1930). The life and letters of Francis Galton (Vol. IIIA). Cambridge University Press.
Pearson, K. (1933). Galton’s work on evidential value of fingerprints. Sankhya: Indian Journal of Statistics, 1(50).
Rice, J. A. (1995). Mathematical statistics and data analysis (2nd ed.). Duxbury Press.
Roddy, A., & Stosz, J. (1997). Fingerprint features: Statistical-analysis and system performance estimates. Proceedings of the IEEE, 85(9), 1390–1421.
Roxburgh, T. (1933). On evidential value of fingerprints. Sankhya: Indian Journal of Statistics, 1, 189–214.
Saks, M. J., & Koehler, J. J. (2005). The coming paradigm shift in forensic identification science. Science, 309(5736), 892–895.
Saltzman, J. (2005a). SJC bars a type of prints at trial. The Boston Globe.
Saltzman, J. (2005b). Massachusetts Supreme Judicial Court to hear arguments on banning fingerprint evidence. The Boston Globe.
Sclove, S. L (1979). The occurrence of fingerprint characteristics as a two dimensional process. Journal of American Statistical Association, 74(367), 588–595.
Stoney, D. A. (1985). A quantitative assessment of fingerprint individuality. Ph.D. Thesis, University of California.
Stoney, D. A. (1988). Distribution of epidermal ridge minutiae. American Journal of Physical Anthropology, 77, 367–376.
Stoney, D. A., & Thornton, J. I. (1986). A critical analisys of quantitative fingerprints individuality models. Journal of Forensic Sciences, 31(4), 1187–1216.
Su, C., & Srihari, S. (2010). Evaluation of rarity of fingerprints in forensics. In Proceedings of Advances in Neural Information Processing Systems (pp. 1207–1215).
Trauring, M. (1963). Automatic comparison of finger-ridge patterns. Nature, 197, 938–940.
Wentworth, B., & Wilder, H. H. (1918). Personal identification. R.G. Badger.
Yoon, S., & Jain, A. K. (2015). Longitudinal study of fingerprint recognition. Proceedings of the National Academy of Sciences, 112(28), 8555–8560.
Zhu, Y., Dass, S. C., & Jain A. K. (2007). Statistical models for assessing the individuality of fingerprints. IEEE Transactions on Information Forensics and Security, 2(3), 391–401.
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Maltoni, D., Maio, D., Jain, A.K., Feng, J. (2022). Fingerprint Individuality. In: Handbook of Fingerprint Recognition. Springer, Cham. https://doi.org/10.1007/978-3-030-83624-5_8
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DOI: https://doi.org/10.1007/978-3-030-83624-5_8
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