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010   $a3-319-61545-9
024 7 $a10.1007/978-3-319-61545-5
035   $a(CKB)3710000001630983
035   $a(MiAaPQ)EBC4941331
035   $a(DE-He213)978-3-319-61545-5
035   $a(PPN)203853709
035   $a(EXLCZ)993710000001630983
100   $a20170808d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aAdvanced Biometrics /$fby David Zhang, Guangming Lu, Lei Zhang
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (336 pages) $cillustrations
311 08$a3-319-61544-0 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $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.
330   $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.
606   $aSignal processing
606   $aBiometric identification
606   $aBiomedical engineering
606   $aSignal, Speech and Image Processing
606   $aBiometrics
606   $aBiomedical Engineering and Bioengineering
615  0$aSignal processing.
615  0$aBiometric identification.
615  0$aBiomedical engineering.
615 14$aSignal, Speech and Image Processing.
615 24$aBiometrics.
615 24$aBiomedical Engineering and Bioengineering.
676   $a006.4
700   $aZhang$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut$0763056
702   $aLu$b Guangming$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aZhang$b Lei$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299918303321
996   $aAdvanced Biometrics$92542731
997   $aUNINA