Instruction, Feedback and Biometrics: The User Interface for Fingerprint Authentication Systems

Riley, Chris; Johnson, Graham I.; Mccracken, Heather; Al-Saffar, Ahmed

doi:10.1007/978-3-642-03658-3_35

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…Biometric samples stored in e-Passports and captured at e-Gates can be acquired in a wide variety of non-ideal situations, can present poor quality due to acquisition problems, and can be captured using different acquisition sensors [14], [15]. In order to simulate these problems and evaluate the performance of the proposed approach, we used several fingerprint datasets.…”

Section: A Used Databasesmentioning

confidence: 99%

“…Fingerprint recognition represents one of the most mature and accurate biometric technologies [13]. However, the recognition performance of fingerprint-based technologies can be negatively impacted by non-ideal conditions typical of ABC scenarios, such as: stress caused by the travel, bulky luggage inducing discomfort, dirt on the hands (e.g., after eating) or on the sensor (e.g., after multiple uses) [14], and lack of effective signaling in an unsupervised context [15].…”

Section: Introductionmentioning

confidence: 99%

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Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts

Anand

Labati

Genovese

et al. 2016

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

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Automated Border Control (ABC) systems are being increasingly used to perform a fast, accurate, and reliable verification of the travelers' identity. These systems use biometric technologies to verify the identity of the person crossing the border. In this context, fingerprint verification systems are widely adopted due to their high accuracy and user acceptance. Matching score normalization methods can improve the performance of fingerprint recognition in ABC systems and mitigate the effect of non-idealities typical of this scenario without modifying the existing biometric technologies. However, privacy protection regulations restrict the use of biometric data captured in ABC systems and can compromise the applicability of these techniques. Cohort score normalization methods based only on impostor scores provide a suitable solution, due to their limited use of sensible data and to their promising performance. In this paper, we propose a privacy-compliant and adaptive normalization approach for enhancing fingerprint recognition in ABC systems. The proposed approach computes cohort scores from an external public dataset and uses computational intelligence to learn and improve the matching score distribution. The use of a public dataset permits to apply cohort normalization strategies in contexts in which privacy protection regulations restrict the storage of biometric data. We performed a technological and a scenario evaluation using a commercial matcher currently adopted in real ABC systems and we used data simulating different conditions typical of ABC systems, obtaining encouraging results.

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Section: A Used Databasesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts

Anand

Labati

Genovese

et al. 2016

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

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“…Often a novel device or module is to be investigated before integration into an existing product. One recent example comes from the integration of a biometric authentication system into our self-service products [26]. The use of biometrics technology, such as fingerprint recognition, poses a number of unique challenges.…”

Section: Usability Study Of Novel Device Performancementioning

confidence: 99%

User Experience at NCR: An Organisational Overview

Day

Johnson²,

Rohan

et al. 2010

Electronic Workshops in Computing

Self Cite

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In this paper the role of user experience (UX) in a large multinational corporation is presented in an historical perspective with recent organisational changes being described that have resulted in the UX role being placed in a central corporate team. Some examples are selected to illustrate a portion of the activities undertaken by this group, and the skills needed to accompany core technical knowledge are outlined. A working definition of user experience is then described that reflects the recent changes that the user experience role has had in our organisation, with this definition being compared with existing definitions of usability. The paper then concludes with reflections on the UX role within a large organisation, and presents some thoughts on how the UX role could be developed in the future. related context upon individual gaze and action during a collaborative Tetris game. Results show that experts as well as novices adapt their playing style when interacting in mixed ability pairs. We also present machine learning results about the prediction of player's social context.

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“…• Other studies presented in [15], [16], [17], [18], [19], [20], [21], [22], [23], [24] have highlighted several points about biometrics such as: -acceptance is linked to the number of uses of the biometrics in general and information provided by the biometric device can also improve user acceptance; -there is a potential concern about the misuse of personal data (i.e., templates) which is seen as violating users' privacy and civil liberties. Another important concern is the probability that criminals may perpetrate heinous acts to gain access.…”

Section: Introductionmentioning

confidence: 99%

A study of users' acceptance and satisfaction of biometric systems

El-Abed

Giot

Hemery

et al. 2010

44th Annual 2010 IEEE International Carnahan Conference on Security Technology

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International audienceBiometric authentication methods are being increasingly used for many types of applications. Since such methods necessitate humans to interact with a device, effective implementation requires consideration of the perceptions and responses of end users. Towards this goal, we present in this paper a modalityindependent evaluation methodology to study users' acceptance and satisfaction of biometric systems. It is based on the use of a questionnaire and some data mining tools for the analysis. We have applied it on two biometric systems developed in our research laboratory. The results from this study demonstrated that users' satisfaction analysis should be more taken into account when developing biometric systems. A significant panel of 70 users was more satisfied from the keystroke system than the other one. Users surprisingly considered that its perceived performance was also better even if the used face system has a better performance with an EER of 8.76% than the keystroke one with an EER of 17.51%. The robustness of a system against attacks and its perceived trust have been identified as important factors to take into account when designing biometric systems. Results have also demonstrated significant relationships between demographic factors and their perception about the biometric technology and the studied systems

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Instruction, Feedback and Biometrics: The User Interface for Fingerprint Authentication Systems

Cited by 5 publications

References 10 publications

Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts

Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts

User Experience at NCR: An Organisational Overview

A study of users' acceptance and satisfaction of biometric systems

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