Adaptive Biometric Systems: Recent Advances and Challenges by Ajita Rattani, Fabio Roli, Eric Granger

By Ajita Rattani, Fabio Roli, Eric Granger

This interdisciplinary quantity provides an in depth assessment of the newest advances and demanding situations ultimate within the box of adaptive biometric structures. A large diversity of strategies are supplied from a world collection of pre-eminent specialists, accrued jointly less than a unified taxonomy and designed to be acceptable to any trend attractiveness process. positive aspects: offers a radical advent to the idea that of adaptive biometric structures; stories structures for adaptive face reputation that practice self-updating of facial types utilizing operational (unlabeled) info; describes a singular semi-supervised education technique referred to as fusion-based co-training; examines the characterization and popularity of human gestures in video clips; discusses a range of studying ideas that may be utilized to construct an adaptive biometric procedure; investigates approaches for dealing with temporal variance in facial biometrics because of getting older; proposes a score-level fusion scheme for an adaptive multimodal biometric system.

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Online fingerprint template improvement. Pattern Anal. Mach. Intell. IEEE Trans. 24(8), 1121–1126 (2002) 15. : Template adaptation based fingerprint verification. In: 18th IEEE International Conference on Pattern Recognition, ICPR 2006, vol. 4, pp. 582–585 (2006) 16. : Template update methods in adaptive biometric systems: A critical review. Lecture Notes in Computer Science (included Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5558, 847–856 (2009) 17. : Biometric template update: an experimental investigation on the relationship between update errors and performance degradation in face verification.

For the DIEE and FRGC datasets, impostor patterns for each individual are randomly selected among batches from other individuals. In the case of the FIA dataset, impostor patterns are selected from the non-target dataset individuals during the same session. To avoid any bias in performance evaluation, the same amount of impostor and genuine patterns are considered. Finally, using genuine and impostor patterns, the self-updating systems galleries are updated according to their updating strategies, and the thresholds are re-estimated using the same methodology.

This is because in both the adverse and degraded conditions, the noise due to the environmental conditions affecting the speech modality, which consists of indoor recordings, is still relatively unimportant in comparison with the face modality. 3 Handling Session Mismatch by Semi-supervised-Based … 41 A novel aspect concerning the usage of this database, unlike precedent efforts in [11] or [10], is that video sequences are actually used here, rather than still images extracted from the video sequence.

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