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

Research output: Contribution to conference › Paper › peer-review

4 Scopus citations

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.

Original language	English
Pages	381-386
Number of pages	6
DOIs	https://doi.org/10.1109/CERMA.2008.64
State	Published - 2008
Event	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 - Cuernavaca, Morelos, Mexico Duration: 30 Sep 2008 → 3 Oct 2008

Conference

Conference	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008
Country/Territory	Mexico
City	Cuernavaca, Morelos
Period	30/09/08 → 3/10/08

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10.1109/CERMA.2008.64

Cite this

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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",

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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.

UR - http://www.scopus.com/inward/record.url?scp=67650070903&partnerID=8YFLogxK

U2 - 10.1109/CERMA.2008.64

DO - 10.1109/CERMA.2008.64

M3 - Artículo

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EP - 386

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

Y2 - 30 September 2008 through 3 October 2008

ER -

Fingerprint recongnition using espatial minutae information

Abstract

Conference

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