TY - GEN
T1 - Quantum Matching Algorithm for Biometric Fingerprints
AU - Mogos, Gabriela
N1 - Publisher Copyright:
© 2024 ACM.
PY - 2024/1/26
Y1 - 2024/1/26
N2 - 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.
AB - 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.
KW - biometrics
KW - fingerprint templates
KW - IBM Quantum
KW - quantum image processing
UR - http://www.scopus.com/inward/record.url?scp=85191462763&partnerID=8YFLogxK
U2 - 10.1145/3647750.3647780
DO - 10.1145/3647750.3647780
M3 - Conference Proceeding
AN - SCOPUS:85191462763
T3 - ACM International Conference Proceeding Series
SP - 197
EP - 201
BT - ICMLSC 2024 - Proceedings of the 2024 8th International Conference on Machine Learning and Soft Computing
PB - Association for Computing Machinery
T2 - 8th International Conference on Machine Learning and Soft Computing, ICMLSC 2024
Y2 - 26 January 2024 through 28 January 2024
ER -