Tokenless Biometric Electronic Transactions Using an Audio Signature to Identify the Transaction Processor

Abstract

The invention discloses a tokenless biometric identification computer system, comprising at least a database containing registered biometric samples of users. A comparator compares a bid biometric sample of a user to at least one registered biometric sample, the bid biometric sample obtained directly from the user during an identification process for conducting an electronic transaction by the user. A stored audio signature is associated with a transaction processor entity, which the transaction processor entity is responsible for conducting the electronic transaction. A sound generator generates an analog or digital signal from the stored audio signature, and a transducer converts the analog or digital signal to a play back audio signature. This invention generates a play back audio signature from the stored audio signature that is associated with the transaction processor entity and the play back audio signature is played back to the user to identify the transaction processor entity that conducted the electronic transaction, wherein no man made personal devices such as credit cards, identity cards or the like is used during the identification process for conducting the electronic transaction.

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Document Details

Document Type
Technical Report
Publication Date
May 28, 2002
Accession Number
ADA412635

Entities

People

  • David Ferrin Pare Jr.
  • Jonathan Alexander Lee
  • Ned Hoffman
  • Phillip Dean Lapsley

Organizations

  • United States Patent and Trademark Office

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acoustic Propagation
  • Biometric Security
  • Biometrics
  • Comparators
  • Computers
  • Data Processing
  • Databases
  • Generators
  • Identification
  • Identification Systems
  • Memory Devices
  • Networks
  • Personal Computers
  • Security
  • Sound Generators
  • Sound Waves
  • Waves

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Sensor Fusion and Tracking Systems.
  • Speech Processing/Speech Recognition.

Technology Areas

  • Microelectronics