Título: Gabor filter approximation through a Neural Network applied to fingerprint images
Autores: Marques, Airam Carlos Pais Barreto; Thomé, Antonio Carlos Gay
Resumo: Fingerprints systems are used for access control and forensic applications to confirm or discover the identity of a person. With the emergence of digital computers, fingerprint images could be enhanced using modern digital image processing filters. Widely known, the Gabor filter greatly enhances the fingerprint image quality but it is associated with a high computational cost. This paper describes the use of a neural network trained to behave like a Gabor filter with a lower computational cost.
Palavras-chave: Gabor’s filter approximation; Neural Networks; Fingerprints detection
Código DOI: 10.21528/CBIC2013-217
Artigo em pdf: bricsccicbic2013_submission_217.pdf
Arquivo BibTex: bricsccicbic2013_submission_217.bib