Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46141
Título: Synthesis and evaluation of high resolution hand-prints
Autores/as: Morales, Aythami
Cappelli, Raffaele
Ferrer, Miguel Angel 
Maltoni, Davide
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Fingerprint recognition
Biological system modeling
Shape
Training
Thumb
Fecha de publicación: 2014
Editor/a: 1556-6013
Publicación seriada: IEEE Transactions on Information Forensics and Security 
Resumen: This paper introduces a novel method for the generation of high-resolution synthetic hand-print images. Specific traits, such as fingerprint, palmprint, and hand-shape, are synthesized to obtain a whole hand-print. Each trait is generated by a methodology that mimics the nature of the corresponding biometric data and their main degrees of freedom. The biometric traits are then integrated into a single high-resolution realistic image. A quantitative validation of the obtained patterns is carried out in the context of minutiae matching by comparing genuine and impostor distributions between synthetic and real hand-prints. The proposed approach also proved to be useful for algorithm training/optimization.
URI: http://hdl.handle.net/10553/46141
ISSN: 1556-6013
DOI: 10.1109/TIFS.2014.2357757
Fuente: IEEE Transactions on Information Forensics and Security[ISSN 1556-6013],v. 9 (2357757), p. 1922-1932
Colección:Artículos
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