By N. V. Boulgouris, Konstantinos N. Plataniotis, Evangelia Micheli-Tzanakou
An in-depth exam of the innovative of biometrics
This ebook fills a niche within the literature through detailing the new advances and rising theories, tools, and purposes of biometric structures in various infrastructures. Edited by way of a panel of specialists, it presents complete assurance of:
- Multilinear discriminant research for biometric sign reputation
- Biometric identification authentication innovations in keeping with neural networks
- Multimodal biometrics and layout of classifiers for biometric fusion
- Feature choice and facial getting older modeling for face acceptance
- Geometrical and statistical versions for video-based face authentication
- Near-infrared and 3D face reputation
- Recognition in accordance with fingerprints and 3D hand geometry
- Iris popularity and ECG-based biometrics
- Online signature-based authentication
- Identification in accordance with gait
- Information thought ways to biometrics
- Biologically encouraged equipment and biometric encryption
- Biometrics in accordance with electroencephalography and event-related potentials
Biometrics: idea, tools, and functions is an fundamental source for researchers, defense specialists, policymakers, engineers, and graduate scholars.
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Extra resources for Biometrics: Theory, methods, and applications
Regarding the comparison between LDA and MLDA, we concentrate on the scatter-ratio-based methods: LDA and ULDA versus DATER and UMLDA. In this experiment, DATER and UMLDA outperform LDA and ULDA greatly, especially when L is small. When L = 30—that is, the number of training samples for each subject is large—the performance gap is reduced. This comparison demonstrates that treating gray-level face images in their natural 2-D representation is advantageous against vectorized representation, especially when the number of training samples per subject is small.
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