Título
Improving fingerprint verification using minutiae triplets
Autor
MIGUEL ANGEL MEDINA PEREZ
MILTON GARCÍA BORROTO
ANDRES EDUARDO GUTIERREZ RODRIGUEZ
Leopoldo Altamirano Robles
Nivel de Acceso
Acceso Abierto
Materias
Resumen o descripción
Improving fingerprint matching algorithms is an active and important research area in fingerprint recognition. Algorithms based on minutia triplets, an important matcher family, present some drawbacks that impact their accuracy, such as dependency to the order of minutiae in the feature, insensitivity to the reflection of minutiae triplets, and insensitivity to the directions of the minutiae relative to the sides of the triangle. To alleviate these drawbacks, we introduce in this paper a novel fingerprint matching algorithm, named M3gl. This algorithm contains three components: a new feature representation containing clockwise-arranged minutiae without a central minutia, a new similarity measure that shifts the triplets to find the best minutiae correspondence, and a global matching procedure that selects the alignment by maximizing the amount of global matching minutiae. To make M3gl faster, it includes some optimizations to discard non-matching minutia triplets without comparing the whole representation. In comparison with six verification algorithms, M3gl achieves the highest accuracy in the lowest matching time, using FVC2002 and FVC2004 databases.
Editor
Sensors
Fecha de publicación
2012
Tipo de publicación
Artículo
Versión de la publicación
Versión aceptada
Recurso de información
Formato
application/pdf
Idioma
Inglés
Audiencia
Estudiantes
Investigadores
Público en general
Sugerencia de citación
Medina-Pérez, M.A., et al., (2012). Improving fingerprint verification using minutiae triplets, Sensors, Vol. (12): 3418-3437
Repositorio Orígen
Repositorio Institucional del INAOE
Descargas
241