Fingerprint recongnition using espatial minutae information

J. León; G. Sánchez; G. Aguilar; K. Toscano; H. Pérez; M. Nakano

doi:10.1109/CERMA.2008.64

Fingerprint recongnition using espatial minutae information

J. León, G. Sánchez, G. Aguilar, K. Toscano, H. Pérez, M. Nakano

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

4 Citas (Scopus)

Resumen

A fingerprint is the visible impression or molded that papillary produces with the papillary crest contact in a surface. It depends on the conditions under which the fingerprint is made, and the support characteristics (plastics or soft matters in due conditions), however, it is an individual characteristic that is used as a main pattern for people identification.. In this research the image enhancement is carry out using FFT (Fast Fourier Transform) and Gabor filters, the minutiae extraction approach is done to obtain a characteristic vector which has distance, angle and minutiae coordinates those vectors will be used for training and recognition.

Idioma original	Inglés
Páginas	381-386
Número de páginas	6
DOI	https://doi.org/10.1109/CERMA.2008.64
Estado	Publicada - 2008
Evento	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 - Cuernavaca, Morelos, México Duración: 30 sep. 2008 → 3 oct. 2008

Conferencia

Conferencia	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008
País/Territorio	México
Ciudad	Cuernavaca, Morelos
Período	30/09/08 → 3/10/08

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title = "Fingerprint recongnition using espatial minutae information",

abstract = "A fingerprint is the visible impression or molded that papillary produces with the papillary crest contact in a surface. It depends on the conditions under which the fingerprint is made, and the support characteristics (plastics or soft matters in due conditions), however, it is an individual characteristic that is used as a main pattern for people identification.. In this research the image enhancement is carry out using FFT (Fast Fourier Transform) and Gabor filters, the minutiae extraction approach is done to obtain a characteristic vector which has distance, angle and minutiae coordinates those vectors will be used for training and recognition.",

author = "J. Le{\'o}n and G. S{\'a}nchez and G. Aguilar and K. Toscano and H. P{\'e}rez and M. Nakano",

year = "2008",

doi = "10.1109/CERMA.2008.64",

language = "Ingl{\'e}s",

pages = "381--386",

note = "Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 ; Conference date: 30-09-2008 Through 03-10-2008",

}

Fingerprint recongnition using espatial minutae information. / León, J.; Sánchez, G.; Aguilar, G. et al.
2008. 381-386 Papel presentado en Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008, Cuernavaca, Morelos, México.

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

TY - CONF

T1 - Fingerprint recongnition using espatial minutae information

AU - León, J.

AU - Sánchez, G.

AU - Aguilar, G.

AU - Toscano, K.

AU - Pérez, H.

AU - Nakano, M.

PY - 2008

Y1 - 2008

N2 - A fingerprint is the visible impression or molded that papillary produces with the papillary crest contact in a surface. It depends on the conditions under which the fingerprint is made, and the support characteristics (plastics or soft matters in due conditions), however, it is an individual characteristic that is used as a main pattern for people identification.. In this research the image enhancement is carry out using FFT (Fast Fourier Transform) and Gabor filters, the minutiae extraction approach is done to obtain a characteristic vector which has distance, angle and minutiae coordinates those vectors will be used for training and recognition.

AB - A fingerprint is the visible impression or molded that papillary produces with the papillary crest contact in a surface. It depends on the conditions under which the fingerprint is made, and the support characteristics (plastics or soft matters in due conditions), however, it is an individual characteristic that is used as a main pattern for people identification.. In this research the image enhancement is carry out using FFT (Fast Fourier Transform) and Gabor filters, the minutiae extraction approach is done to obtain a characteristic vector which has distance, angle and minutiae coordinates those vectors will be used for training and recognition.

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U2 - 10.1109/CERMA.2008.64

DO - 10.1109/CERMA.2008.64

M3 - Artículo

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T2 - Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008

Y2 - 30 September 2008 through 3 October 2008

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Fingerprint recongnition using espatial minutae information

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