Construction of Rolled Digital for Newborns Using Image Registration

This work aimed to reconstruct rolled fingerprint images from multiple flat fingerprints using image registration and composition techniques. The methodology involved selecting high-quality frames through a quality network, the application of preprocessing with remapping, cropping the area of interest, and adjusting colors. In addition to image registration steps, like key point identification, feature matching, and image distortion. Results indicated that while classical image registration had limitations, the composition technique significantly increased the number of features extracted, enhancing fingerprint identification. It was demonstrated that the composition method effectively captures important fingerprint details, offering a potential improvement in newborn biometric identification.

Authors

Institutions

Publication Details

Journal
Revista de Informática Teórica e Aplicada
Published
2025-02-20
DOI
https://doi.org/10.22456/2175-2745.143514
Citations
1
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
1.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Construction of Rolled Digital for Newborns Using Image Registration

Jefferson Tales Oliva, Fábio Favarim, Luiz Fernando Puttow Southier, Marcelo Teixeira et al.
1 citations
Revista de Informática Teórica e Aplicada
Augmented Reality Applications
1.28
article

Construction of Rolled Digital for Newborns Using Image Registration

Jefferson Tales Oliva, Fábio Favarim, Luiz Fernando Puttow Southier, Marcelo Teixeira, Dalcimar Casanova, Wesley Augusto Catuzzo de Bona
article en
1 citations

Abstract

This work aimed to reconstruct rolled fingerprint images from multiple flat fingerprints using image registration and composition techniques. The methodology involved selecting high-quality frames through a quality network, the application of preprocessing with remapping, cropping the area of interest, and adjusting colors. In addition to image registration steps, like key point identification, feature matching, and image distortion. Results indicated that while classical image registration had limitations, the composition technique significantly increased the number of features extracted, enhancing fingerprint identification. It was demonstrated that the composition method effectively captures important fingerprint details, offering a potential improvement in newborn biometric identification.

Revista de Informática Teórica e AplicadaVol. 32(1)
Universidade Tecnológica Federal do Paraná (BR)
Openalex Percentile: Top 23%
Augmented Reality Applications
1.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.