Testing report of a fingerprint-based door-opening system

Faundez-Zanuy, Marcos; Fabregas, Joan

doi:10.1109/maes.2005.1453806

Cited by 15 publications

(8 citation statements)

References 1 publication

(2 reference statements)

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“…Obviously the best characterization of biometric systems is the one that we achieve with a fully operating system, where users interact with the biometric system in a "normal" and "real" way. For instance, in a door opening system, such as the system described in [7][8].…”

Section: B Comparison Of Results Obtained With the Same Databasementioning

confidence: 99%

Biometric Database Acquisition Close to “Real World” Conditions

Faundez-Zanuy¹,

Fabregas²,

Ferrer-Ballester

et al. 2010

Development of Multimodal Interfaces: Active Listening and Synchrony

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Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in: El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription Biometric database acquisition close to "real world" conditionsMarcos Faundez-Zanuy (1), Joan Fàbregas (1), Miguel Ángel Ferrer-Ballester (2), Aythami Morales (2), Javier Ortega-Garcia (3), Guillermo Gonzalez de Rivera (3), Javier Garrido (3) (1) Escola Universitària Politècnica de Mataró (Adscrita a la UPC), (2) GPDS Universidad de Las Palmas de Gran Canaria (3) ATVS, Universidad Autónoma de Madrid faundez@eupmt.es http://www.gpds.ulpgc.es/biopassweb/biopass.htm Abstract. In this paper we present an autonomous biometric device developed in the framework of a national project. This system is able to capture speech, hand-geometry, online signature and face, and can open a door when the user is positively verified. Nevertheless the main purpose is to acquire a database without supervision (normal databases are collected in the presence of a supervisor that tells you what to do in front of the device, which is an unrealistic situation). This system will permit us to explain the main differences between what we call "real conditions" as opposed to "laboratory conditions".

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Section: B Comparison Of Results Obtained With the Same Databasementioning

confidence: 99%

Biometric Database Acquisition Close to “Real World” Conditions

Faundez-Zanuy¹,

Fabregas²,

Ferrer-Ballester

et al. 2010

Development of Multimodal Interfaces: Active Listening and Synchrony

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show abstract

Section: B Comparison Of Results Obtained With the Same Databasementioning

confidence: 99%

Biometric System Verification Close to “Real World” Conditions

Morales

Ferrer

Faundez³

et al. 2009

Biometric ID Management and Multimodal Communication

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Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in: Abstract. In this paper we present an autonomous biometric device developed in the framework of a national project. This system is able to capture speech, hand-geometry, online signature and face, and can open a door when the user is positively verified. Nevertheless the main purpose is to acquire a database without supervision (normal databases are collected in the presence of a supervisor that tells you what to do in front of the device, which is an unrealistic situation). This system will permit us to explain the main differences between what we call "real conditions" as opposed to "laboratory conditions".

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“…In some cases, such as room access [5][6], it can be more convenient for the user to operate on identification mode. However, verification systems are faster because they just require one-to-one comparison (identification requires one to N, where N is the number of users in the database).…”

Section: Decision Error Rates Versus Matching Errorsmentioning

confidence: 99%

Biometric security technology

Faundez-Zanuy

2006

IEEE Aerosp. Electron. Syst. Mag.

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This paper presents an overview of the main topics related to biometric security technology, with the main purpose to provide a primer on this subject. Biometrics can offer greater security and convenience than traditional methods for people recognition. Even if we do not want to replace a classic method (password or handheld token) by a biometric one, for sure, we are potential users of these systems, which will even be mandatory for new passport models. For this reason, to be familiarized with the possibilities of biometric security technology is useful. 1 This work has been supported by FEDER and MEC, TIC-2003-08382-C05-02 Distinctiveness: Any two persons should be different enough to distinguish each other based on this characteristic. Permanence: the characteristic should be stable enough (with respect to the matching criterion) along time, different environment conditions, etc. Collectability: the characteristic should be acquirable and quantitatively measurable. Acceptability: people should be willing to accept the biometric system, and do not feel that it is annoying, invasive, etc. Performance: the identification accuracy and required time for a successful recognition must be reasonably good. Circumvention: the skill of fraudulent people and techniques to fool the biometric system should be negligible. Biometric traits can be split into two main categories:Physiological biometrics: it is based on direct measurements of a part of the human body. Fingerprint, face, iris and hand-scan recognition belong to this group.Behavioral biometrics: it is based on measurements and data derived from an action performed by the user, and thus indirectly measures some characteristics of the human body. Signature, gait, gesture and key stroking recognition belong to this group. However, this classification is quite artificial. For instance, the speech signal depends on behavioral traits such as semantics, diction, pronunciation, idiosyncrasy, etc. (related to socio-economic status, education, place of birth, etc.) [2]. However, it also depends on the speaker's physiology, such as the shape of the vocal tract. On the other hand, physiological traits are also influenced by user behavior, such as the manner in which a user presents a finger, looks at a camera, etc. VERIFICATION AND IDENTIFICATIONBiometric systems can be operated in two modes, named identification and verification. We will refer to recognition for the general case, when we do not want to differentiate between them. However, some authors consider recognition and identification synonymous.

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Testing report of a fingerprint-based door-opening system

Cited by 15 publications

References 1 publication

Biometric Database Acquisition Close to “Real World” Conditions

Biometric Database Acquisition Close to “Real World” Conditions

Biometric System Verification Close to “Real World” Conditions

Biometric security technology

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