Name: Deep Learning for Biometrics (en Inglés)
Price: 522093.00 COP
Availability: InStock
Author: Bhanu, Bir ; Kumar, Ajay
ISBN: 9783319616568

portada Deep Learning for Biometrics (en Inglés)

Deep Learning for Biometrics (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Bhanu, Bir ; Kumar, Ajay

Idioma

Inglés

N° páginas

312

Encuadernación

Tapa Dura

Dimensiones

24.4 x 16.7 x 2.4 cm

Peso

0.71 kg.

ISBN13

9783319616568

Categorías

Matemáticas aplicadas
Teoría matemática de la computación
Aprendizaje automático («machine learning»)
Reconocimiento de formas
Visión por ordenador

Deep Learning for Biometrics (en Inglés)

Bhanu, Bir ; Kumar, Ajay (Autor) · Springer · Tapa Dura

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Reseña del libro "Deep Learning for Biometrics (en Inglés)"

This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches forgesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories.Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.