- Author: Riad I. Hammoud, Besma R. Abidi, Mongi A. Abidi
- Publisher: Springer
- Number Of Pages: 276
- Publication Date: 2007-03-12
- ISBN-10 / ASIN: 3540493441
- ISBN-13 / EAN: 9783540493440
- Binding: Hardcover
Description:
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.
Download Link:
- Face Biometrics for Personal Identification
- Archive password: ebooksclub.org | Face Biometrics for Personal Identification
- Archive password: ebooksclub.org | Face Biometrics for Personal Identification
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