Personal Attributes Authentication Techniques.

Abstract

This research sought to isolate physiological attributes which would be of use in automatic identity verification for access control. The work proceeded in three stages. During the initial phase, over 30 potential physical attributes were evaluated through mathematical modeling, opinion survey, and system analysis. The two best attributes, handprints and a modified electrocardiogram called a 'C-trace'--were selected for in depth study. Data on both attributes was collected on 72 subjects at 3 sessions over 3 months during the 2nd phase. In the 3rd phase, the data was analyzed to determine the type i and ii error rates for identity verification. A type I error is a failure to recognize a legitimate subject, whereas a type II error occurs when an imposter is identified as a legitimate subject. Results were quite encouraging. The handprint achieved a type I error %of 1.4% and a type II of 1.6%. The c-trace performed at a type I of 1.2% and a type II of 1.1%. Arguments which indicate that the handprint results can be improved significantly and the c-trace moderately are given.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1977
Accession Number
ADA047645

Entities

People

  • George E. Forsen
  • Mark R. Nelson
  • Raymond J. Staron Jr

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Authentication
  • Blood Groups
  • Crystal Structure
  • Databases
  • Detectors
  • Electrocardiography
  • Entry Control Systems
  • Feature Extraction
  • Geometry
  • Health Services
  • Identification Systems
  • Image Processing
  • Medical Personnel
  • Pattern Recognition
  • Plastic Explosives
  • Radiation
  • Waveforms

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Programming and Software Development.
  • Cybersecurity.