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Toward Automatic Simulation of Aging Effects on Face Images
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ACM Computing Surveys (CSUR)
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MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Handbook of Multibiometrics (International Series on Biometrics)
Handbook of Multibiometrics (International Series on Biometrics)
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CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Modeling Age Progression in Young Faces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
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Pattern Recognition Letters
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EURASIP Journal on Applied Signal Processing
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Biometrics
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Computer Vision and Image Understanding
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EURASIP Journal on Advances in Signal Processing
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ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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IEEE Transactions on Image Processing
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IEEE Transactions on Image Processing
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Face verification with aging using AdaBoost and local binary patterns
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
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International Journal of Biometrics
Face verification of age separated images under the influence of internal and external factors
Image and Vision Computing
Speaker verification in score-ageing-quality classification space
Computer Speech and Language
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The performance of biometric authentication systems is affected by discrepancies between data stored in biometric templates and corresponding data derived from the actual owners of biometric templates. Such discrepancies are mainly attributed to within-person variations of biometric features. Among all types of within-person variations, aging-related variation displays unique characteristics that make the process of dealing with aging a challenging task. In this paper we discuss how aging affects different types of biometric features and discuss possible approaches that aim to eliminate the effects of aging so that deterioration in the long-term performance of biometric authentication systems is minimised.