A Study of Age and Ageing in Fingerprint Biometrics

Thanks to Mr. James Bond, we are aware that diamonds are forever but, are fingerprints? It is well known that biometrics brings to the security field a new paradigm; unlike traditional systems, individuals are not identified by something that they have or they know, but by what they are. While such an approach entails some clear advantages, an important question remains: is what we are today the same as what we will be tomorrow? This paper addresses such a key problem in the fingerprint modality based on a database of over 400K impressions coming from more than 250K different fingers. The database was acquired under real operational conditions and contains fingerprints from subjects aged 0–25 and 65–98 years. Fingerprint pairs were collected with a time difference that ranges between 0 and 7 years. Such a unique set of data has allowed us to analyze both the age and ageing effects, shedding some new light into issues, such as fingerprint permanence and fingerprint quality.

[1]  Schumacher Guenter,et al.  Fingerprint Recognition for Children , 2013 .

[2]  Mayank Vatsa,et al.  Does Iris Change Over Time? , 2013, PloS one.

[3]  Elham Tabassi,et al.  Fingerprint Image Quality , 2009, Encyclopedia of Biometrics.

[4]  S. Modi,et al.  Impact of Image Quality on Performance: Comparison of Young and Elderly Fingerprints , 2006 .

[5]  Julian Fierrez,et al.  Aging in Biometrics: An Experimental Analysis on On-Line Signature , 2013, PloS one.

[6]  Patrick J. Grother,et al.  MINEX Performance and Interoperability of the INCITS 378 Fingerprint Template | NIST , 2006 .

[7]  Andreas Uhl,et al.  Template ageing and quality analysis in time-span separated fingerprint data , 2017, 2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA).

[8]  Hakil Kim,et al.  Impact of Age Groups on Fingerprint Recognition Performance , 2007, 2007 IEEE Workshop on Automatic Identification Advanced Technologies.

[9]  Andreas Uhl,et al.  Comparing verification performance of kids and adults for Fingerprint, Palmprint, Hand-geometry and Digitprint biometrics , 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.

[10]  Craig I. Watson,et al.  Fingerprint Vendor Technology Evaluation , 2014 .

[11]  Axel Munk,et al.  Modeling the Growth of Fingerprints Improves Matching for Adolescents , 2011, IEEE Transactions on Information Forensics and Security.

[12]  Sharath Pankanti,et al.  On the Individuality of Fingerprints , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Andrew P. Rebera,et al.  Biometrics for an ageing society societal and ethical factors in biometrics and ageing , 2012, 2012 BIOSIG - Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG).

[14]  Anil K. Jain,et al.  Recognizing infants and toddlers using fingerprints: Increasing the vaccination coverage , 2014, IEEE International Joint Conference on Biometrics.

[15]  Andreas Uhl,et al.  Fingerprint Template Ageing Vs. Template Changes Revisited , 2017, 2017 International Conference of the Biometrics Special Interest Group (BIOSIG).

[16]  E. Carmeli,et al.  The aging hand. , 2003, The journals of gerontology. Series A, Biological sciences and medical sciences.

[17]  S.J. Elliott,et al.  An evaluation of fingerprint image quality across an elderly population vis-a-vis an 18-25 year old population , 2005, Proceedings 39th Annual 2005 International Carnahan Conference on Security Technology.

[18]  Anil K. Jain,et al.  Statistical Models for Assessing the Individuality of Fingerprints , 2007, IEEE Trans. Inf. Forensics Secur..

[19]  Sargur N. Srihari,et al.  Generative models for fingerprint individuality using ridge models , 2008, 2008 19th International Conference on Pattern Recognition.

[20]  L. Macía,et al.  A Charter of Fundamental Rights for the European Union , 2000 .

[21]  C. Busch,et al.  Investigating performance and impacts on fingerprint recognition systems , 2005, Proceedings from the Sixth Annual IEEE SMC Information Assurance Workshop.

[22]  George W. Quinn,et al.  IREX VI : Temporal Stability of Iris Recognition Accuracy , 2013 .

[23]  Timothy F. Cootes,et al.  Overview of research on facial ageing using the FG-NET ageing database , 2016, IET Biom..

[24]  Anil K. Jain,et al.  Longitudinal study of fingerprint recognition , 2015, Proceedings of the National Academy of Sciences.

[25]  Elham Tabassi,et al.  Performance of Biometric Quality Measures , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  Michael Fairhurst,et al.  Age Factors in Biometric Processing , 2013 .

[27]  Andreas Uhl,et al.  Experimental evidence of ageing in hand biometrics , 2013, 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG).

[28]  Anil K. Jain,et al.  Fingerprint Recognition of Young Children , 2017, IEEE Transactions on Information Forensics and Security.

[29]  Andreas Lanitis,et al.  A survey of the effects of aging on biometric identity verification , 2010, Int. J. Biom..