A contrario detection of false matches in iris recognition

The pattern of the human iris contains rich information which provides one of the most accurate methods for recognition of individuals. Identification through iris recognition is achieved by matching a biometric template generated from the texture of the iris against an existing database of template...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Mottalli, M., Tepper, M., Mejail, M.
Formato:	SER
Materias:	Belong to Biometric template False matches Heterogeneous environments Human Iris Identification method Iris recognition Iris template Novel techniques Random factors Standard method Thresholding techniques Biometrics Computer vision Hamming distance Template matching Image matching Pattern recognition
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_03029743_v6419LNCS_n_p442_Mottalli
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_03029743_v6419LNCS_n_p442_Mottalli
record_format	dspace
spelling	todo:paper_03029743_v6419LNCS_n_p442_Mottalli2023-10-03T15:19:16Z A contrario detection of false matches in iris recognition Mottalli, M. Tepper, M. Mejail, M. Belong to Biometric template False matches Heterogeneous environments Human Iris Identification method Iris recognition Iris template Novel techniques Random factors Standard method Thresholding techniques Biometric template False matches Heterogeneous environments Identification method Iris recognition Novel techniques Random factors Thresholding techniques Biometrics Computer vision Hamming distance Biometrics Hamming distance Template matching Image matching Pattern recognition The pattern of the human iris contains rich information which provides one of the most accurate methods for recognition of individuals. Identification through iris recognition is achieved by matching a biometric template generated from the texture of the iris against an existing database of templates. This relies on the assumption that the probability of two different iris generating similar templates is very low. This assumption opens a question: how can one be sure that two iris templates are similar because they were generated from the same iris and not because of some other random factor? In this paper we introduce a novel technique for iris matching based on the a contrario framework, where two iris templates are decided to belong to the same iris according to the unlikelyness of the similarity between them. This method provides an intuitive detection thresholding technique, based on the probability of occurence of the distance between two templates. We perform tests on different iris databases captured in heterogeneous environments and we show that the proposed identification method is more robust than the standard method based on the Hamming distance. © 2010 Springer-Verlag. SER info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v6419LNCS_n_p442_Mottalli
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Belong to Biometric template False matches Heterogeneous environments Human Iris Identification method Iris recognition Iris template Novel techniques Random factors Standard method Thresholding techniques Biometric template False matches Heterogeneous environments Identification method Iris recognition Novel techniques Random factors Thresholding techniques Biometrics Computer vision Hamming distance Biometrics Hamming distance Template matching Image matching Pattern recognition
spellingShingle	Belong to Biometric template False matches Heterogeneous environments Human Iris Identification method Iris recognition Iris template Novel techniques Random factors Standard method Thresholding techniques Biometric template False matches Heterogeneous environments Identification method Iris recognition Novel techniques Random factors Thresholding techniques Biometrics Computer vision Hamming distance Biometrics Hamming distance Template matching Image matching Pattern recognition Mottalli, M. Tepper, M. Mejail, M. A contrario detection of false matches in iris recognition
topic_facet	Belong to Biometric template False matches Heterogeneous environments Human Iris Identification method Iris recognition Iris template Novel techniques Random factors Standard method Thresholding techniques Biometric template False matches Heterogeneous environments Identification method Iris recognition Novel techniques Random factors Thresholding techniques Biometrics Computer vision Hamming distance Biometrics Hamming distance Template matching Image matching Pattern recognition
description	The pattern of the human iris contains rich information which provides one of the most accurate methods for recognition of individuals. Identification through iris recognition is achieved by matching a biometric template generated from the texture of the iris against an existing database of templates. This relies on the assumption that the probability of two different iris generating similar templates is very low. This assumption opens a question: how can one be sure that two iris templates are similar because they were generated from the same iris and not because of some other random factor? In this paper we introduce a novel technique for iris matching based on the a contrario framework, where two iris templates are decided to belong to the same iris according to the unlikelyness of the similarity between them. This method provides an intuitive detection thresholding technique, based on the probability of occurence of the distance between two templates. We perform tests on different iris databases captured in heterogeneous environments and we show that the proposed identification method is more robust than the standard method based on the Hamming distance. © 2010 Springer-Verlag.
format	SER
author	Mottalli, M. Tepper, M. Mejail, M.
author_facet	Mottalli, M. Tepper, M. Mejail, M.
author_sort	Mottalli, M.
title	A contrario detection of false matches in iris recognition
title_short	A contrario detection of false matches in iris recognition
title_full	A contrario detection of false matches in iris recognition
title_fullStr	A contrario detection of false matches in iris recognition
title_full_unstemmed	A contrario detection of false matches in iris recognition
title_sort	contrario detection of false matches in iris recognition
url	http://hdl.handle.net/20.500.12110/paper_03029743_v6419LNCS_n_p442_Mottalli
work_keys_str_mv	AT mottallim acontrariodetectionoffalsematchesinirisrecognition AT tepperm acontrariodetectionoffalsematchesinirisrecognition AT mejailm acontrariodetectionoffalsematchesinirisrecognition AT mottallim contrariodetectionoffalsematchesinirisrecognition AT tepperm contrariodetectionoffalsematchesinirisrecognition AT mejailm contrariodetectionoffalsematchesinirisrecognition
_version_	1782027716696997888

A contrario detection of false matches in iris recognition

Ejemplares similares