[HTML][HTML] Interpol review of fingermarks and other body impressions (2019–2022)

A Bécue, C Champod - Forensic Science International: Synergy, 2023 - Elsevier
The area of fingermarks is a very active community fuelled with many research papers, case
studies and commentaries proposed during the reviewing period (July 2019–June 2022) …

Fingerprint growth model for mitigating the ageing effect on children's fingerprints matching

R Haraksim, J Galbally, L Beslay - Pattern Recognition, 2019 - Elsevier
Nowadays, the majority of fingerprint quality, matching and feature extraction algorithms are
developed and trained on fingerprints of adults. Accordingly, the processing of children's …

Unsupervised learning of fingerprint rotations

P Schuch, JM May, C Busch - 2018 International Conference of …, 2018 - ieeexplore.ieee.org
The alignment of fingerprint samples is a preprocessing step in fingerprint recognition. It
allows an improved biometric feature extraction and a more accurate biometric comparison …

Deep learning for fingerprint recognition systems

P Schuch - 2019 - ntnuopen.ntnu.no
Biometric recognition is a typical means to identify individuals or to verify claimed identities.
Use cases are manifold. For example, users can unlock their smartphones for convenience …

Effect of Specific Data Variations on Automated Speaker Recognition

ED Meighen - 2024 - researchrepository.wvu.edu
Speaker recognition is not a new biometric modality but there are still many obstacles in the
way in order for it to become as used as fingerprint recognition, facial recognition, and iris …

[PDF][PDF] A deep learning approach to age newborns' fingerprints minutiae maps

LFP Southier - bdta.abcd.usp.br
Southier, LFP A deep learning approach to age newborns' fingerprints minutiae maps. 2024.
47 p. Monograph (MBA in Artificial Intelligence and Big Data)-Instituto de Ciências …