Biometric Standards Performance and Assurance Laboratory

Fingerprint Recognition

Fingerprint Recognition is an important biometric, especially as the price and size of sensors has reduced dramatically over the past few years. Fingerprint sensors are now being deployed in a number of applications, from border control, automatic teller machines, to desktop solutions. There are a number of interesting research projects that can be done within the fingerprint recognition arena, from sensor performance, sensor calibration, vulnerabilities, image quality. The lab has partnered with Dr. Hakil Kim at INHA University to examine fingerprint image quality. Projects this semester are:

Interoperability performance analysis of fingerprint recognition systems.
Fingerprint image quality & minutiae count comparison across multiple sensors
Habituation to fingerprint devices
Fingerprint preference and its affect on performance
Fingerprint preference and its affect on the Failure to Acquire and Failure to Enrol Rates
Fingerprint and Cryptography
Image Quality and Force of Presentation
Image Quality Across Age Groups
Image Quality and Height of Sensor
Artificial Fingerprint and Genuine Fingerprint Image Quality
User Anxiety to Fingerprint Recognition Systems

Image Quality and Minutiae Count Comparison for Genuine and Artificial Fingerprints

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Abstract The vulnerabilities of a biometric sensor have been discussed extensively in the literature, and popularized on many films and television programs. The focus of this research is to examine the image quality of an artificial print as compared to a genuine finger, and to examine the characteristics of the two including minutiae counts, image quality, as repeated samples are taken from the fingers.

Previous Work / Publications

	Modi, S. K., & Elliott, S. J., (2005). Securing the manufacturing environment using biometrics, Proceedings of the 39th Annual International Carnahan Conference on Security Technology (ICCST) (pp. 275-278). Las Palmas de G. C., Spain.
	Wu*, G., Latif, N. & Elliott, S. J. (2005). Security solutions for CNC machine operations based on biometric security.Selected Papers of the National Association of Industrial Technology Annual Conference. St. Louis, MO.
	Sickler, N. C., & Elliott, S. J. (2005). An evaluation of fingerprint image quality across an elderly population vis-a-vis an 18-25 year old population. Proceedings of the 39th Annual International Carnahan Conference on Security Technology (ICCST)* (pp. 61-68). Las Palmas de G. C., Spain.
	Sicklern, N. C., Elliott, S. J., (2003). An evaluation of fingerprint image quality across an elderly population vis-a-vis an 18-25 year old populations, Center for Education and Research in Information Assurance and Security conference, West Lafayette, IN.

Biometric Standards, Performance, and Assurance Laboratory

Department of Industrial Technology