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008			170808s2018 gw | s |||| 0|eng d
020			_a9783319615455
024	7		_a10.1007/978-3-319-61545-5 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTK7882.B56 _b2018 EB
100	1		_aZhang, David, _d1949- _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/109203044/ _948572
245	1	0	_aAdvanced Biometrics _cby David Zhang, Guangming Lu, Lei Zhang.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIII, 335 páginas 30 ilustraciones)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
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	3		_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.
988			_aEBSPRINGER_2018
650		7	_aIdentificación biométrica _2embne _9687509
700	1		_aLu, Guangming. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2013113196 _1http://viaf.org/viaf/305407438/
700	1		_aZhang, Lei _0http://id.loc.gov/authorities/names/n82071272 _1http://viaf.org/viaf/18674850/ _9100203
776	0	8	_iEdición impresa: _z9783319615448
776	0	8	_iEdición impresa: _z9783319615462
776	0	8	_iEdición impresa: _z9783319871073
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-61545-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _zSI _eIG