Quantum Matching Algorithm for Biometric Fingerprints

Gabriela Mogos*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Fingerprints remain constant throughout life. In over 140 years of fingerprint analysis, no two fingerprints have ever been found to be identical, even in identical twins. Each of us is born with a unique set of fingerprints, although experts still don't know with what exactly what we use them for. In information technology terms, biometrics is associated with technologies and techniques designed to secure and confirm identity based on individual, measurable biological characteristics of the person. Fingerprints can be used in systems and schemes designed to gain access to a computer, a room and, why not, a bank account. A verification system authenticates the person's claimed identity by comparing the fingerprints provided by the person at a given point in time with the measures of these features previously stored in the system and associated with the person's claimed identity. This paper presents a quantum matching algorithm for biometric fingerprints. For this, classical fingerprinting was encoded into quantum states using an adapted Novel Enhanced Quantum model and the quantum circuits, for storage and for matching, were implemented and tested on the IBM Quantum Experience platform and on a local virtual quantum simulator.

Original languageEnglish
Title of host publicationICMLSC 2024 - Proceedings of the 2024 8th International Conference on Machine Learning and Soft Computing
PublisherAssociation for Computing Machinery
Pages197-201
Number of pages5
ISBN (Electronic)9798400716546
DOIs
Publication statusPublished - 26 Jan 2024
Event8th International Conference on Machine Learning and Soft Computing, ICMLSC 2024 - Singapore, Singapore
Duration: 26 Jan 202428 Jan 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Machine Learning and Soft Computing, ICMLSC 2024
Country/TerritorySingapore
CitySingapore
Period26/01/2428/01/24

Keywords

  • biometrics
  • fingerprint templates
  • IBM Quantum
  • quantum image processing

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