Examining the Effect of Transverse Motion on Retinal Biometric Identifiers Relating to Shipboard Security Mechanisms

Abstract

This thesis investigated the use of a retinal biometric identification system as security access authorization devices in shipboard applications with the DOT 7.5(new version) and DAISY 7.5(old version) scanners of the Eye-Dentify Co. of Beaverton, OR. Motion testing was the primary purpose. This thesis was the first dynamic testing on any type of retinal pattern recognition device. A transverse motion(only) simulator that could roll up to 14 deg. and sustain a cycle per minute(cpm) rate of 6.0 was constructed and used. The experiment tested the two scanners to determine if there would be significant differences in their characteristics, and their possible uses at sea. Major conclusions were: 1) Best results occurred on the DOT 7.5, although five Type II 'RECOGNITION' errors were noted; 2) As period of roll and angle of roll were increased in cpm's and degrees respectfully, results were poorer; 3) Identification threshold settings were allowed to be set too low at +0.60 by the CRT lock manager, and should be raised to approximately +0.70. That way, the probability of the occurrence of Type II errors (false RECOGNITIONS/ VERIFICATIONS) would be greatly decreased; 4) Retinal scanners are, generally, very reliable.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1986
Accession Number
ADA168930

Entities

People

  • David A. Masiero

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Authentication
  • Biometric Security
  • Biometrics
  • Coast Guard
  • Computers
  • Data Science
  • Eye
  • Identification
  • Information Processing
  • Information Science
  • Military Research
  • Pattern Recognition
  • Recognition
  • Security
  • Simulators
  • United States

Readers

  • Cybersecurity.
  • Human-Computer Interaction (HCI).
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference