Examining the Reliability of a Retinal Recognition Device as Database Size and the Number of Enrollment Scans are Varied for Applications in Command, Control and Communications (C3)
Abstract
As the amount of sensitive information stored in databases increases due to the current trend to automate Command, Control and Communication C superscript 3 systems, the impact of unauthorized access could be very detrimental to our nation's security. Access control hardware that uses retinal blood vessel pattern recognition may be the solution to the problem. This thesis looks at one retinal pattern recognition device and attempts to determine it's reliability as a function of the data base size stored in memory and the number of enrollment scans averaged together to form the reference template. The database sizes used consisted of 300, 600 or 1200 templates, and the reference templates tested were comprised of 3, 5 or 7 enrollment scans. The applicability of this technology for protecting C superscript 3 systems is discussed. This study employed the Eye Dentify Inc. of 7.5 system, which performed extremely well by producing a low TYPE I error rate and no TYPE II errors in over 1000 trials. This technology has potential for the protection of C superscript 3 systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1986
- Accession Number
- ADA177714
Entities
People
- Anthony M. Leigh Jr.
Organizations
- Naval Postgraduate School