000 04410nam a22005415i 4500
001 978-3-540-49346-4
003 DE-He213
005 20161121230614.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540493464
_9978-3-540-49346-4
024 7 _a10.1007/978-3-540-49346-4
_2doi
050 4 _aQH323.5
072 7 _aUYQP
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
082 0 4 _a570.15195
_223
245 1 0 _aFace Biometrics for Personal Identification
_h[electronic resource] :
_bMulti-Sensory Multi-Modal Systems /
_cedited by Riad I. Hammoud, Besma R. Abidi, Mongi A. Abidi.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aXV, 275 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSignals and Communication Technology,
_x1860-4862
505 0 _aSpace/Time Emerging Face Biometrics -- Pose and Illumination Invariant Face Recognition Using Video Sequences -- Recognizing Faces Across Age Progression -- Quality Assessment and Restoration of Face Images in Long Range/High Zoom Video -- Core Faces: A Shift-Invariant Principal Component Analysis (PCA) Correlation Filter Bank for Illumination-Tolerant Face Recognition -- Multi-Sensory Face Biometrics -- Towards Person Authentication by Fusing Visual and Thermal Face Biometrics -- Multispectral Face Recognition: Fusion of Visual Imagery with Physiological Information -- Feature Selection for Improved Face Recognition in Multisensor Images -- Multimodal Face Biometrics -- Multimodal Face and Speaker Identification for Mobile Devices -- Quo Vadis: 3D Face and Ear Recognition? -- Human Recognition at a Distance in Video by Integrating Face Profile and Gait -- Generic Approaches to Multibiometric Systems -- Fusion Techniques in Multibiometric Systems -- Performance Prediction Methodology for Multibiometric Systems.
520 _aThis book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. This practical reference contains four distinctive parts and a brief introduction chapter. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.
650 0 _aComputer science.
650 0 _aPattern recognition.
650 0 _aBiometrics (Biology).
650 0 _aBiophysics.
650 0 _aBiological physics.
650 1 4 _aComputer Science.
650 2 4 _aBiometrics.
650 2 4 _aPattern Recognition.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aBiophysics and Biological Physics.
700 1 _aHammoud, Riad I.
_eeditor.
700 1 _aAbidi, Besma R.
_eeditor.
700 1 _aAbidi, Mongi A.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540493440
830 0 _aSignals and Communication Technology,
_x1860-4862
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-49346-4
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c501256
_d501256