| 000 | 03852nam a22005655i 4500 | ||
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| 001 | 978-3-319-61545-5 | ||
| 003 | DE-He213 | ||
| 005 | 20220801222534.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 170808s2018 sz | s |||| 0|eng d | ||
| 020 |
_a9783319615455 _9978-3-319-61545-5 |
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| 024 | 7 |
_a10.1007/978-3-319-61545-5 _2doi |
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_a621.382 _223 |
| 100 | 1 |
_aZhang, David. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962012 |
|
| 245 | 1 | 0 |
_aAdvanced Biometrics _h[electronic resource] / _cby David Zhang, Guangming Lu, Lei Zhang. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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| 300 |
_aXIII, 335 p. 30 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aOVERVIEW -- 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. | |
| 520 | _aThis 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 |
_aSignal processing. _94052 |
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| 650 | 0 |
_aBiometric identification. _911407 |
|
| 650 | 0 |
_aBiomedical engineering. _93292 |
|
| 650 | 1 | 4 |
_aSignal, Speech and Image Processing . _931566 |
| 650 | 2 | 4 |
_aBiometrics. _932763 |
| 650 | 2 | 4 |
_aBiomedical Engineering and Bioengineering. _931842 |
| 700 | 1 |
_aLu, Guangming. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962013 |
|
| 700 | 1 |
_aZhang, Lei. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962014 |
|
| 710 | 2 |
_aSpringerLink (Online service) _962015 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319615448 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319615462 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319871073 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-61545-5 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c80877 _d80877 |
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