Face Biometrics for Personal Identification: Multi-Sensory Multi-Modal Systems (Signals and Communication Technology) [Hardcover] price

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This book offers an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions within the biometrics field. It includes students and software engineers a thorough knowledge of how some core low-level building blocks of an multi-biometric system are implemented. Although this book covers a selection of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is added to multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" identifies combining data from two or higher biometric sensors, for example synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or maybe more biometric modalities, like face images and voice timber. This practical reference contains four distinctive parts along with a brief introduction chapter. The 1st 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 3rd 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.