Recursive Class Connectivity Classification (R3C) Applied to Binary Image Segmentation for Improved Infant Fingerprint Enhancement
Image enhancement plays a crucial role in infant fingerprint matching, as child-specific characteristics such as smaller finger dimensions and thinner ridge structures often degrade image quality during acquisition. To address these limitations, enrollment typically depends on specialized high-resol...
Saved in:
| Main Authors: | Joao Leonardo Harres Dall Agnol, Luiz Fernando Puttow Southier, Jefferson Tales Oliva, Marcelo Teixeira, Rodrigo Minetto, Marcelo Filipak, Dalcimar Casanova, Erick Oliveira Rodrigues |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11106426/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Super-Resolution Approach for Image Resizing of Infant Fingerprints With Vision Transformers
by: Joao H. P. Machado, et al.
Published: (2025-01-01) -
U-Net-Based Fingerprint Enhancement for 3D Fingerprint Recognition
by: Mohammad Mogharen Askarin, et al.
Published: (2025-02-01) -
Feature Generation-Based Fingerprint Liveness Detection: A Novel Multimodal Approach
by: B. R. Rajakumar, et al.
Published: (2025-01-01) -
A Comprehensive Review of Unimodal and Multimodal Fingerprint Biometric Authentication Systems: Fusion, Attacks, and Template Protection
by: U. Sumalatha, et al.
Published: (2024-01-01) -
Optimizing Wet Fingerprint Denoising Net for Enhanced Biometric Security
by: Mao-Hsiu Hsu, et al.
Published: (2025-05-01)