Construction of Rolled Digital for Newborns Using Image Registration

Wesley Augusto Catuzzo de Bona; Jefferson Tales Oliva; Luiz Fernando Puttow Southier; Fabio Favarim; Marcelo Teixeira; Dalcimar Casanova

doi:10.22456/2175-2745.143514

Authors

Wesley Augusto Catuzzo de Bona Universidade Tecnológica Federal do Paraná (UTFPR) https://orcid.org/0009-0008-6743-6892
Jefferson Tales Oliva Universidade Tecnológica Federal do Paraná (UTFPR) https://orcid.org/0000-0003-1574-1293
Luiz Fernando Puttow Southier Universidade Tecnológica Federal do Paraná (UTFPR) https://orcid.org/0000-0003-2420-4094
Fabio Favarim Universidade Tecnológica Federal do Paraná (UTFPR) https://orcid.org/0000-0001-7490-8167
Marcelo Teixeira Universidade Tecnológica Federal do Paraná (UTFPR) https://orcid.org/0000-0002-1008-7838
Dalcimar Casanova Universidade Tecnológica Federal do Paraná (UTFPR) https://orcid.org/0000-0002-1905-4602

DOI:

https://doi.org/10.22456/2175-2745.143514

Keywords:

Fingerprint, Newborn, Image Registration, Composition

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.

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