1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2026★ 1 cited
Iterative Framework For Data Augmentation Of Segmented Fingerprints
João Leonardo H. D. Agnol, Wesley Augusto de Bona, Erick Oliveira Rodrigues +4
Infant biometrics presents unique challenges due to the physiological differences between infants and adults, compounded by the scarcity of available data for research that limits…
cs.CV2026
Recursive Class Connectivity Classification (R3C) Applied to Binary Image Segmentation for Improved Infant Fingerprint Enhancement
Joao Leonardo Harres Dall Agnol, Luiz Fernando Puttow Southier, Jefferson Tales 0liva +5
Image enhancement plays a crucial role in infant fingerprint matching, as child-specific characteristics such as smaller finger dimensions and thinner ridge structures often degrad…