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_aSpringerLink (Online service) _9106996 |
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| 003 | ES-MaUEC | ||
| 005 | 20230102113826.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 191213s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783030304362 | ||
| 024 | 7 |
_a10.1007/978-3-030-30436-2 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQH323.5 _b2019 EB |
|
| 245 | 0 | 0 |
_aAdvances in Biometrics _bModern Methods and Implementation Strategies _cedited by G.R. Sinha. |
| 250 | _aFirst edition | ||
| 264 | 1 |
_aCham, Switzerland _bSpringer International Publishing _c2019 |
|
| 300 |
_a1 recurso en línea (XIV, 355 páginas) _b234 ilustraciones, 153 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_atext file _bPDF |
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| 490 | 0 | _aBiomedical and Life Sciences (Springer-11642) | |
| 505 | 0 | _aIntroduction -- Classification of Biometrics -- Computer Vision and Pattern Recognition Biometric Databases -- Machine Learning and Artificial Intelligence (AI) -- Design of Classifiers -- Cybersecurity and Biometrics -- New Algorithms and Technologies -- Cognitive Computing -- Usability and Testing Methods -- 3D Face Recognition -- Biometric Standards and Protocols -- Dimensionality Reduction -- Application and Case Studies -- Template Aging -- Biometric Template Security -- Soft Biometrics -- Social Impact of Biometric Technology -- Future Directions and Robustness. | |
| 520 | 3 | _aThis book provides a framework for robust and novel biometric techniques, along with implementation and design strategies. The theory, principles, pragmatic and modern methods, and future directions of biometrics are presented, along with in-depth coverage of biometric applications in driverless cars, automated and AI-based systems, IoT, and wearable devices. Additional coverage includes computer vision and pattern recognition, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for researchers, faculty, and practicing professionals working in biometrics and related fields, such as image processing, computer vision, and artificial intelligence. Highlights robust and novel biometrics techniques Provides implementation strategies and future research directions in the field of biometrics Includes case studies and emerging applications. | |
| 988 | _aPrimersemestre_2020_BiomedLife | ||
| 650 | 7 |
_2embne _aBiometría _9139105 |
|
| 700 | 1 |
_aSinha, G.R. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030304355 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030304379 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030304386 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-30436-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE _n0 |
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| 998 |
_b03/2020 _dz _eh _zSI |
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