Accession Number : ADA302620
Title : Biometric Identification/Verification Brassboard Proof-of-Concept System Phase 2.
Descriptive Note : Technical rept. 12 Jan 94-31 Jan 95,
Corporate Author : IRASCAN INC MOUNT LAUREL NJ
Personal Author(s) : Siedlarz, John E. ; Kuhla, Cletus B. ; Williams, Gerald O. ; Lee, James H. ; McHugh, James T.
PDF Url : ADA302620
Report Date : 01 DEC 1995
Pagination or Media Count : 191
Abstract : DoD budget and personnel reductions drive requirements for an entry/access control system capable of non-intrusively identifying and verifying the identity of persons with a high degree of confidence and without a man in the decision loop. Operational Performance Requirements (OPR) were assembled from the SOW and Service requirements documents. An Iris-Based Biometric identification Verification Brassboard Proof-of-Concept System was designed and fabricated. The system was tested in accordance with the DNA-approved Test Plan and demonstrated at three sites. The test started with a data- base of 405 files and provided for enrollment of 160 added IrisCodes. Fifty verifications and 11944 identifications averaged 2.44 seconds each, with a False Accept Rate of 0. One hundred fifty impostor irises and 662 unenrolled irises were correctly rejected; one enrolled person wearing dirty glasses was incorrectly rejected, for a False Reject Rate of .05%. (The rejected enrollee was identified on second and all subsequent attempts, both with and without glasses.) Average enrollment time was 25 seconds, plus typing time. The system made 3,1001000 file comparisons without error. The system met or exceeded all test standards and requirements.
Descriptors : *IMAGE PROCESSING, *IDENTIFICATION SYSTEMS, *ENTRY CONTROL SYSTEMS, TEST AND EVALUATION, DATA BASES, SOFTWARE ENGINEERING, REQUIREMENTS, DEPARTMENT OF DEFENSE, AUTOMATION, COST EFFECTIVENESS, COMPUTER COMMUNICATIONS, VERIFICATION, PERFORMANCE(ENGINEERING), COST ESTIMATES, FABRICATION, COMPATIBILITY, FALSE ALARMS, FEEDBACK, DATA ACQUISITION, OPERATING SYSTEMS(COMPUTERS), ACCESS, PATTERN RECOGNITION, SYSTEMS ANALYSIS, MAN COMPUTER INTERFACE, COMPUTER FILES, DESIGN CRITERIA, CONFIDENCE LEVEL, REJECTION, BIOMETRY, ERROR DETECTION CODES, BRASSBOARD MODELS, PERSONNEL DETECTION, IRIS.
Subject Categories : Cybernetics
Miscellaneous Detection and Detectors
Distribution Statement : APPROVED FOR PUBLIC RELEASE