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Multispectral Biometrics Systems and Applications /
Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion a...
| Asıl Yazarlar: | , , |
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| Müşterek Yazar: | |
| Materyal Türü: | e-Kitap |
| Dil: | İngilizce |
| Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing :
2016.
Imprint: Springer, |
| Edisyon: | 1st ed. 2016. |
| Konular: | |
| Online Erişim: | Full-text access |
İçindekiler:
- Multimodal Fusion for Robust Identity Authentication: Role of Liveness Checks
- Multimodal Biometric Person Recognition System Based on Multi-Spectral Palmprint Features Using Fusion of Wavelet Representations
- Audio-Visual Biometrics and Forgery
- Face and ECG Based Multi-Modal Biometric Authentication
- Biometrical Fusion - Input Statistical Distribution
- Normalization of Infrared Facial Images under Variant Ambient Temperatures
- Use of Spectral Biometrics for Aliveness Detection
- A Contactless Biometric System Using Palm Print and Palm Vein Features
- Liveness Detection in Biometrics
- Fingerprint Recognition
- A Gender Detection Approach
- Improving Iris Recognition Performance Using Quality Measures
- Application of LCS Algorithm to Authenticate Users within Their Mobile Phone Through In-Air Signatures
- Performance Comparison of Principal Component Analysis-Based Face Recognition in Color Space
- Block Coding Schemes Designed for Biometric Authentication
- Perceived Age Estimation from Face Images
- Cell Biometrics Based on Bio-Impedance Measurements
- Hand Biometrics in Mobile Dices.