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Purdue University
Center for Education and Research in Information Assurance and Security

Modeling Biometric Modalities onto the HBSI (Human Biometric Sensor Interaction) Method

Research Areas: End System Security

Principal Investigator: Stephen Elliott

The goal of this research is to provide the biometrics community with a comparative evaluation method for biometric devices that uses ergonomics, usability, biometric image quality, and traditional system performance criteria to evaluate the design and functionality of biometric devices and systems. This model was initially developed using fingerprint recognition as a base modality, but as the model matures, we have started to map the other modalities onto the model. This academic year will see hand geometry and iris recognition mapped for model validation.

Personnel

Students: Mitch Mershon Benny Senjaya

Representative Publications

  • Kukula E, Elliott S. … system: a look at the human biometric sensor interaction (HBSI). In: … Security Technology, Proceedings 2006 40th Annual ….; 2006. Available at: http://scholar.google.com/scholar?hl=en&q="hbsi"+elliott&btnG=Search&as_sdt=2000&as_ylo=&as_vis=0#0.

  • Elliott SJ, Kukula EP. A definitional framework for the human/biometric sensor interaction model. In: Kumar BV, Prabhakar S, Ross AA Biometric Technology for Human Identification VII.Vol 7667. Orlando, Florida, USA: SPIE; 2010:76670H-8. Available at: http://link.aip.org/link/?PSI/7667/76670H/1.

  • Kukula E, Blomeke C, Modi S, Elliott S. Effect of Human Interaction on Fingerprint Matching Performance, Quality and Minutiae Count. In: ICITA 2008. Cairns, Australia: IEEE; 2008.

  • Kukula EP, Elliott SJ. A definitional framework for the human-biometric sensor interaction model. West Lafayette: BSPA Laboratory Publications; 2009. Available at: http://www.bspalabs.org/files/183/BSPAWP-060709_HBSI_Definitions&Framework.pdf.


  • Kukula EP, Blomeke CR, Modi SK, Elliott SJ. Effect of human-biometric sensor interaction on fingerprint matching performance, image quality and minutiae count. International Journal of Computer Applications in Technology. 2009;34(4):270. Available at: http://www.inderscience.com/link.php?id=24079.

  • Kukula E, Blomeke C, Modi S, Elliott S. Effect of Human Interaction on Fingerprint Matching Performance, Image Quality, and Minutiae Count. International Journal of Computer Applications in Technology. 2009;34(4):270-277. Available at: http://inderscience.metapress.com/index/E311108T61137563.pdf.

  • Kukula E, Proctor R. Human-Biometric Sensor Interaction: Impact of Training on Biometric System and User Performance. In: Smith M, Salvendy G Human Interface, Part II, HCII 2009. Berlin / Heidelberg: Springer; 2009:168-177. Available at: http://www.springerlink.com/index/877121741375p776.pdf.

  • Eric P. K, Stephen J. E. Implementing Ergonomic Principles in a Biometric System: A Look at the Human Biometric Sensor Interaction (HBSI). In: Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology. Lexington, KY: IEEE; 2006:86-91. Available at: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4105321.