Advanced Biometrics
This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusio...
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|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing,
2018.
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| Vydání: | 1st ed. 2018. |
| Témata: | |
| ISBN: | 9783319615455 |
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| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 003 | SK-BrCVT | ||
| 005 | 20220618114637.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170808s2018 gw | s |||| 0|eng d | ||
| 020 | |a 9783319615455 | ||
| 024 | 7 | |a 10.1007/978-3-319-61545-5 |2 doi | |
| 035 | |a CVTIDW06455 | ||
| 040 | |a Springer-Nature |b eng |c CVTISR |e AACR2 | ||
| 041 | |a eng | ||
| 100 | 1 | |a Zhang, David. |4 aut | |
| 245 | 1 | 0 | |a Advanced Biometrics |h [electronic resource] / |c by David Zhang, Guangming Lu, Lei Zhang. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Cham : |b Springer International Publishing, |c 2018. | |
| 300 | |a XIII, 335 p. 30 illus. |b online resource. | ||
| 500 | |a Engineering | ||
| 505 | 0 | |a OVERVIEW -- High Resolution Partial Fingerprint Alignment using Pore-Valley Descriptors -- Adaptive Fingerprint Pore Modeling and Extraction -- A Reference High Resolution using Minutiae and Pores -- Online Finger-Knuckle-Print Verification for Personal Authentication -- Phase Congruency Induced Local Features for FKP Verification -- Ensemble of Local and Global Information for Finger-Knuckle-Print Verification -- Reconstruction based FKP Verification with Score Level Adaptive Binary Fusion -- 3D Fingerprint Reconstruction and Recognition -- Multi-Spectral Backhand Authentication. | |
| 516 | |a text file PDF | ||
| 520 | |a This book describes a range of new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris technologies. Further, it introduces readers to efficient feature extraction, matching and fusion algorithms, in addition to developing potential systems of its own. These advanced biometric technologies and methods are divided as follows: 1. High-Resolution Fingerprint Recognition; 2. Finger-Knuckle-Print Verification; 3. Other Hand-Based Biometrics; and 4. New Head-Based Biometrics. Traditional biometric technologies, such as fingerprint, face, iris, and palmprint, have been extensively studied and addressed in many research books. However, all of these technologies have their own advantages and disadvantages, and there is no single type of biometric technology that can be used for all applications. Many new biometric technologies have been developed in r ecent years, especially in response to new applications. The contributions gathered here focus on how to develop a new biometric technology based on the requirements of essential applications, and how to design efficient algorithms that yield better performance. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Image processing. | |
| 650 | 0 | |a Speech processing systems. | |
| 650 | 0 | |a Biometrics (Biology). | |
| 650 | 0 | |a Biomedical engineering. | |
| 856 | 4 | 0 | |u http://hanproxy.cvtisr.sk/han/cvti-ebook-springer-eisbn-978-3-319-61545-5 |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE03735 | ||
| 919 | |a 978-3-319-61545-5 | ||
| 974 | |a andrea.lebedova |f Elektronické zdroje | ||
| 992 | |a SUD | ||
| 999 | |c 271777 |d 271777 | ||