Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/21222

Título:

Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system

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Autor:

Bartesaghi, Alberto
Gómez, Alvaro
Fernández, Alicia

Tutor:

Tipo de documento:

Artículo

Editor:

Palabras clave:

Human expert
Directional image
Original algorithm
Fingerprint image
Core point

Descriptores:

PROCESAMIENTO de SEÑALES

Año de publicación:

2001

Contenido:

Resumen:

We study and evaluate an automatic fingerprint classification algorithm that we apply over the fully manual identification system being used by the Dirección Nacional de Identificación Civil (DNIC). To be compatible with the existing system and provide a gradual transition into a fully automatic procedure we mimic the classification scheme being used by DNIC technicians, which is based on a four-class Vucetich system. The classification algorithm we use is based on the method by Karu and Jain [4]. Some modifications to the original algorithm are proposed and evaluated over images extracted from a 4 million fingerprint card archive maintained by DNIC. The algorithm was also tested on fingerprints from the same individuals taken at two different points in time (separated several years) to further evaluate its performance and consistency.

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Springer

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Citación:

Bartesaghi, A., Gómez, A., Fernández, A. Performance evaluation of an automatic fingerprint classification algorithm adapted to a Vucetich based classification system [en línea] Bigun J., Smeraldi F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091.

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Departamento académico:

Procesamiento de Señales

Grupo de investigación:

Tratamiento de Imágenes

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