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Face Biometrics for Personal Identification - Multi-Sensory Multi-Modal Systems (Hardcover, 2007 ed.)
Loot Price: R2,991
Discovery Miles 29 910
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Face Biometrics for Personal Identification - Multi-Sensory Multi-Modal Systems (Hardcover, 2007 ed.)
Series: Signals and Communication Technology
Expected to ship within 10 - 15 working days
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This 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.
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