A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems

It is already a consensus that intra-class variations will decline the performance of biometric systems. Many studies have explained how intra-class variations affect the biometric systems, while few approaches have proposed the effective solutions of template update. Since template update is a cruc...

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Autores principales:	Xi Chen, Ming Yu, Feng Yue, Bin Li, Yingchun Guo
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2019
Materias:	Intra-class variations pass table template selection template update Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/6ce91fe93b0643b6905e701541a2eefe
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id	oai:doaj.org-article:6ce91fe93b0643b6905e701541a2eefe
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spelling	oai:doaj.org-article:6ce91fe93b0643b6905e701541a2eefe2021-11-19T00:04:28ZA Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems2169-353610.1109/ACCESS.2019.2945064https://doaj.org/article/6ce91fe93b0643b6905e701541a2eefe2019-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8854794/https://doaj.org/toc/2169-3536It is already a consensus that intra-class variations will decline the performance of biometric systems. Many studies have explained how intra-class variations affect the biometric systems, while few approaches have proposed the effective solutions of template update. Since template update is a crucial procedure in biometric recognition systems, the problem is challenging because the newly selected templates must be representative of a large amount of intra-class variations such as posture changes and lighting conditions. To this end, existing techniques proposed to perform template update by periodically selecting new representative templates. However, all of them are designed for specific biometric traits rather a generic framework, and they are either ineffective because selected templates are less representative or prone to selection errors due to the presence of outliers. In this paper, we propose a novel generic template update framework. We use pass tables to accumulate information for outlier removal and representative templates selection, and further, propose a novel criterion to select the optimal template set according to current templates and similarity threshold. To confirm the effectiveness of our method, we carry out several experiments on synthetic and real datasets from different biometric traits. The results show that the proposed method is more robust than existing ones, and at the same time, achieves a higher accuracy according to the specified performance indicator. It also demonstrated the superiority of our method to random selection for different biometric traits.Xi ChenMing YuFeng YueBin LiYingchun GuoIEEEarticleIntra-class variationspass tabletemplate selectiontemplate updateElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 7, Pp 145082-145094 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Intra-class variations pass table template selection template update Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Intra-class variations pass table template selection template update Electrical engineering. Electronics. Nuclear engineering TK1-9971 Xi Chen Ming Yu Feng Yue Bin Li Yingchun Guo A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems
description	It is already a consensus that intra-class variations will decline the performance of biometric systems. Many studies have explained how intra-class variations affect the biometric systems, while few approaches have proposed the effective solutions of template update. Since template update is a crucial procedure in biometric recognition systems, the problem is challenging because the newly selected templates must be representative of a large amount of intra-class variations such as posture changes and lighting conditions. To this end, existing techniques proposed to perform template update by periodically selecting new representative templates. However, all of them are designed for specific biometric traits rather a generic framework, and they are either ineffective because selected templates are less representative or prone to selection errors due to the presence of outliers. In this paper, we propose a novel generic template update framework. We use pass tables to accumulate information for outlier removal and representative templates selection, and further, propose a novel criterion to select the optimal template set according to current templates and similarity threshold. To confirm the effectiveness of our method, we carry out several experiments on synthetic and real datasets from different biometric traits. The results show that the proposed method is more robust than existing ones, and at the same time, achieves a higher accuracy according to the specified performance indicator. It also demonstrated the superiority of our method to random selection for different biometric traits.
format	article
author	Xi Chen Ming Yu Feng Yue Bin Li Yingchun Guo
author_facet	Xi Chen Ming Yu Feng Yue Bin Li Yingchun Guo
author_sort	Xi Chen
title	A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems
title_short	A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems
title_full	A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems
title_fullStr	A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems
title_full_unstemmed	A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems
title_sort	generic template update framework: the solution for intra-class variations in biometric systems
publisher	IEEE
publishDate	2019
url	https://doaj.org/article/6ce91fe93b0643b6905e701541a2eefe
work_keys_str_mv	AT xichen agenerictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems AT mingyu agenerictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems AT fengyue agenerictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems AT binli agenerictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems AT yingchunguo agenerictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems AT xichen generictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems AT mingyu generictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems AT fengyue generictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems AT binli generictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems AT yingchunguo generictemplateupdateframeworkthesolutionforintraclassvariationsinbiometricsystems
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A Generic Template Update Framework: The Solution for Intra-Class Variations in Biometric Systems

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