Improved AFIS for Color and Gray Image based on Biometric Triangulation

This research presents a fingerprint image processing algorithm for personal automatic identification, which has been in development since 1998. It is principally based on the comparison of the fingerprint's biometric pattern between the fingerprint captured (original) in each session and the o...

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Autores principales: Espino-Gudiño, María del Carmen, Rodríguez-Hernández, Vicente, Terol Villalobos, Iván R., Herrera Ruiz, Gilberto
Formato: Articulo
Lenguaje:Inglés
Publicado: 2007
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9561
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct07-6.pdf
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id I19-R120-10915-9561
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
IMAGE PROCESSING AND COMPUTER VISION
Identificación Biométrica
minutiae
spellingShingle Ciencias Informáticas
IMAGE PROCESSING AND COMPUTER VISION
Identificación Biométrica
minutiae
Espino-Gudiño, María del Carmen
Rodríguez-Hernández, Vicente
Terol Villalobos, Iván R.
Herrera Ruiz, Gilberto
Improved AFIS for Color and Gray Image based on Biometric Triangulation
topic_facet Ciencias Informáticas
IMAGE PROCESSING AND COMPUTER VISION
Identificación Biométrica
minutiae
description This research presents a fingerprint image processing algorithm for personal automatic identification, which has been in development since 1998. It is principally based on the comparison of the fingerprint's biometric pattern between the fingerprint captured (original) in each session and the one stored in database. It is preferable to capture the image in color. The biometric pattern is formed by the Euclidean distances based on the triangulation of only three minutiae. This methodology locates the position and the type of each minutia to perform the triangulation. The applied metric is the statistic similarity obtained by the comparison of both biometric patterns. This technique enables one to solve translation and rotation problems. An original colored fingerprint is used in order to obtain more information about the fingerprint situation. The space color used is HCL, because it helps get a good skin color for an encrypt key, which is formed by each channel (HCL) in accordance with the skin color. This system has several applications due to its low cost and efficiency. Finally, the results obtained with this methodology were satisfactory since in all the experimental tests the system offered a rate of global success of 99 %.
format Articulo
Articulo
author Espino-Gudiño, María del Carmen
Rodríguez-Hernández, Vicente
Terol Villalobos, Iván R.
Herrera Ruiz, Gilberto
author_facet Espino-Gudiño, María del Carmen
Rodríguez-Hernández, Vicente
Terol Villalobos, Iván R.
Herrera Ruiz, Gilberto
author_sort Espino-Gudiño, María del Carmen
title Improved AFIS for Color and Gray Image based on Biometric Triangulation
title_short Improved AFIS for Color and Gray Image based on Biometric Triangulation
title_full Improved AFIS for Color and Gray Image based on Biometric Triangulation
title_fullStr Improved AFIS for Color and Gray Image based on Biometric Triangulation
title_full_unstemmed Improved AFIS for Color and Gray Image based on Biometric Triangulation
title_sort improved afis for color and gray image based on biometric triangulation
publishDate 2007
url http://sedici.unlp.edu.ar/handle/10915/9561
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct07-6.pdf
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