Fingerprint authentication on touch sensor using Phase-Only Correlation method

Shabrina, Nabilah; Isshiki, Takaaki; Kunieda, Hiroaki

doi:10.1109/ictemsys.2016.7467127

Cited by 27 publications

(8 citation statements)

References 3 publications

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“…Many users trust this authentication method [76]. However, this method usually is not very accurate [77]. Conventional touch sensors introduce physical distortion because of the pressure applied by the individual which critically affects the authentication process.…”

Section: Control Access: Authentication Mechanismsmentioning

confidence: 99%

Consumer-facing technology fraud: Economics, attack methods and potential solutions

Ali

Azad

Centeno

et al. 2019

Future Generation Computer Systems

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Section: Control Access: Authentication Mechanismsmentioning

confidence: 99%

Consumer-facing technology fraud: Economics, attack methods and potential solutions

Ali

Azad

Centeno

et al. 2019

Future Generation Computer Systems

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“…The techniques using physiological biometrics rely on static physical attributes, such as face characteristics [12], fingerprints [34], iris patterns [32], and voice characteristics [6]. Some of these techniques, such as fingerprint and voice authentication, require some direct user participation, i.e.…”

Section: Related Workmentioning

confidence: 99%

Evaluating facial recognition services as interaction technique for recommender systems

Pessemier

Coppens

Martens

2020

Multimed Tools Appl

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Recommender systems are tools and techniques to assist users in the content selection process thereby coping with the problem of information overload. For recommender systems, user authentication and feedback gathering are of crucial importance. However, the typical user authentication with username / password and feedback method with a star rating system are not user friendly and often bypassed. This article proposes an alternative method for user authentication based on facial recognition and an automatic feedback gathering method by detecting various face characteristics such as emotions. We studied the use case of video watching. Photos made with the front-facing camera of a tablet, smartphone, or smart TV are used as input of a facial recognition service. The persons in front of the screen can be identified. During video watching, implicit feedback for the video content is automatically gathered through emotion recognition, attention measurements, and behavior analysis. An evaluation with a test panel showed that the recognized emotions are correlated with the user's star ratings and that happiness can be most accurately detected. So as the main contribution, this article indicates that emotion recognition might be used as an alternative feedback mechanism for recommender systems.

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“…However, when the main information of a given signal is clustered in a frequency band, the meaningless phase components of the signal reduce the efficiency of the method. In this sense, the Band-Limited Phase-Only Correlation (BLPOC) eliminates meaningless information by extracting an effective region obtained from the compared sequences [21][22][23][24][25][26]. The basic theory of the BLPOC function is described below.…”

Section: Band-limited Phase-only Correlation (Blpoc)mentioning

confidence: 99%

Acoustic Individual Identification in Birds Based on the Band-Limited Phase-Only Correlation Function

et al. 2020

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A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification. The main advantage of this new technique, in contrast to traditional algorithms where the use of large-scale datasets is assumed, is its ability to identify individuals by the use of only two samples from the bird species. The proposed technique has two variants (depending on the method used to analyze and extract the bird vocalization from records): automatic individual verification algorithm and semi-automatic individual verification algorithm. The evaluation of the automatic algorithm shows an average precision that is over 80% for the identification comparatives. It is shown that the efficiencies of the algorithms depend on the complexity of the vocalizations.

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Fingerprint authentication on touch sensor using Phase-Only Correlation method

Cited by 27 publications

References 3 publications

Consumer-facing technology fraud: Economics, attack methods and potential solutions

Consumer-facing technology fraud: Economics, attack methods and potential solutions

Evaluating facial recognition services as interaction technique for recommender systems

Acoustic Individual Identification in Birds Based on the Band-Limited Phase-Only Correlation Function

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