Proceedings ArticleDOI
Adaptive biometric verification system using quality-based co-training
Tarek M. Mostafa,Iman A. El-Azab,Neamat El-Gayar +2 more
- pp 1313-1318
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TLDR
The value of using quality measures of biometrics to incorporate it in a semi-supervised learning context for the design of an adaptive biometric system is investigated and results show that usingquality measures in the fusion process will improve system performance.Abstract:
The performance of a biometric verification system may degrade substantially if the input samples vary significantly compared to existing samples in the gallery. Adaptive biometric systems that can improve with use, have recently gained popularity together with using semi-supervised learning methods for accommodating the continuous change in the subject's data. In this study we investigate the value of using quality measures of biometrics to incorporate it in a semi-supervised learning context for the design of an adaptive biometric system. The novelty of the proposed approach is the use of quality information of input samples as an extra source of information to update the user gallery. Our results show that using quality measures in the fusion process will improve system performance.read more
Citations
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Journal ArticleDOI
Continuous Multimodal Biometric Authentication Schemes: A Systematic Review
TL;DR: In this paper, the authors provide a systematic survey of existing literature on multimodal biometric authentication (CMBA) systems, followed by analysis to identify and discuss current research and future trends.
Proceedings ArticleDOI
A Self-adapting Face Authentication System with Deep Learning
Hind Baaqeel,Sunday O. Olatunji +1 more
TL;DR: The proposed self-adapted face verification system (AFVS) that can efficiently classify genuine user samples for the update process using deep learning techniques has been proposed and the adaptivity feature of the proposed system model ensures performance stability in the long run.
References
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Journal ArticleDOI
Eigenfaces for recognition
Matthew Turk,Alex Pentland +1 more
TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Proceedings ArticleDOI
Combining labeled and unlabeled data with co-training
Avrim Blum,Tom M. Mitchell +1 more
TL;DR: A PAC-style analysis is provided for a problem setting motivated by the task of learning to classify web pages, in which the description of each example can be partitioned into two distinct views, to allow inexpensive unlabeled data to augment, a much smaller set of labeled examples.
Book
Handbook of Multibiometrics
TL;DR: Details multi-modal biometrics and its exceptional utility for increasingly reliable human recognition systems and the substantial advantages of multimodal systems over conventional identification methods.
Journal ArticleDOI
A hybrid fingerprint matcher
TL;DR: A hybrid fingerprint matching scheme that uses both minutiae and ridge flow information to represent and match fingerprints, where the entire image is taken into account while constructing the ridge feature map.
Book ChapterDOI
Fingerprint Quality Indices for Predicting Authentication Performance
TL;DR: Both quality indices for fingerprint images are developed and by applying a quality-based weighting scheme in the matching algorithm, the overall matching performance can be improved; a decrease of 1.94% in EER is observed on the FVC2002 DB3 database.