Comparing Similarities in Fingerprints Using Artificial Intelligence
Abstract
Fingerprint recognition algorithms are complex and interdependent processes with multiple stages. The efficiency of each stage affects the quality of the subsequent ones, necessitating optimization at every step. Recently, Artificial Intelligence (AI) has played a pivotal role in improving these processes. This paper specifically evaluates AI's impact on the final stage, which involves determining the similarity between input fingerprints and those stored in a database, ultimately identifying the source finger. The paper discusses the use of intelligent models and presents the achieved results. In conclusion, it underscores the vital role of AI in advancing and refining traditional fingerprint analysis algorithms.
Keywords:
Fingerprints, Fingerprint Recognition, Fingerprint Recognition Algorithms
References
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Gabor, D. (1946). Theory of communication. In Journal of IEE (London), volume 93, pages 429 – 457. IJCB.
Goodfellow, I. (2016). Deep Learning. The MIT Press, second edition.
Jain, A., Hong, L., Pankanti, S., and Bolle, R. (1997). An identity-authentication system using fingerprints. Proceedings of the IEEE, 1(85):1365 – 1388.
Kock, A. J. d. (2016). The study of similarity score calculation methods for minutia-based fingerprint matching algorithms. Master’s thesis, Stellenbosch University.
Kutner, M., Neter, J., Nachtsheim, C. J., and Li, W. (2004). Applied Linear Statistical Models. McGraw-Hill/Irwin, New York, 5th edition.
Maltoni, D., Maio, D., Jain, A. K., and Prabhakar, S. (2009). Handbook of Fingerprint Recognition. Springer, second edition.
Xu, J., Zhang, L., and Wang, J. (2019). A new fingerprint matching algorithm based on convolutional neural networks. IEEE Access, 7:100883–100892.
Zhang, Y., Zhou, Y., Zhao, J., and Wang, S. (2015). Fingerprint minutiae extraction using convolutional neural networks. Pattern Recognition, 48(1):40–50.
Published
2023-12-07
How to Cite
CHAUL, Marco C.; SILVA, Alessandro R.; PIRES, Sandrerley R..
Comparing Similarities in Fingerprints Using Artificial Intelligence. In: REGIONAL SCHOOL ON INFORMATICS OF GOIÁS (ERI-GO), 11. , 2023, Goiânia/GO.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
DOI: https://doi.org/10.5753/erigo.2023.237319.
