Deep Learning for Biometrics, 1st ed. 2017 Advances in Computer Vision and Pattern Recognition Series
Coordonnateurs : Bhanu Bir, Kumar Ajay
Part I: Deep Learning for Face Biometrics
The Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep Learning
Kalanit Grill-Spector, Kendrick Kay and Kevin S. Weiner
Real-Time Face Identification via Multi-Convolutional Neural Network and Boosted Hashing Forest
Yuri Vizilter, Vladimir Gorbatsevich, Andrey Vorotnikov and Nikita Kostromov
CMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection
Chenchen Zhu, Yutong Zheng, Khoa Luu and Marios Savvides
Part II: Deep Learning for Fingerprint, Fingervein and Iris Recognition
Latent Fingerprint Image Segmentation Using Deep Neural Networks
Jude Ezeobiejesi and Bir Bhanu
Finger Vein Identification Using Convolutional Neural Network and Supervised Discrete Hashing
Cihui Xie and Ajay Kumar
Iris Segmentation Using Fully Convolutional Encoder-Decoder Networks
Ehsaneddin Jalilian and Andreas Uhl
Part III: Deep Learning for Soft Biometrics
Two-Stream CNNs for Gesture-Based Verification and Identification: Learning User Style
Jonathan Wu, Jiawei Chen, Prakash Ishwar and Janusz Konrad
DeepGender2: A Generative Approach Toward Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Attention Shift Convolutional Neural Networks (PTAS-CNN) and Deep Convolutional Generative Adversarial Networks (DCGAN)
Felix Juefei-Xu, Eshan Verma and Marios Savvides
Gender Classification from NIR Iris Images Using Deep Learning
Juan Tapia and Carlos Aravena
Deep Learning for Tattoo Recognition
Xing Di and Vishal M. Patel
Part IV: Deep Learning for Biometric Security and Protection
Learning Representations for Cryptographic Hash Based Face Template Protection
Rohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota and Venu Govindaraju
Deep Triplet Embedding Representations for Liveness Detection
Federico Pala and Bir Bhanu
Dr. Bir Bhanu is Bourns Presidential Chair, Distinguished Professor of Electrical and Computer Engineering and the Director of the Center for Research in Intelligent Systems at the University of California at Riverside, USA. Some of his other Springer publications include the titles Video Bioinformatics, Distributed Video Sensor Networks, and Human Recognition at a Distance in Video.
Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University.
The first dedicated work on advances in biometric identification capabilities using deep learning techniques
Covers a broad range of deep learning integrated biometric techniques, including face, fingerprint, iris, gait, template protection, and issues of security
Provides overviews of basic deep learning and biometrics topics for novices in these fields, complete with references for further reading
Includes supplementary material: sn.pub/extras
Date de parution : 05-2018
Ouvrage de 312 p.
15.5x23.5 cm
Date de parution : 08-2017
Ouvrage de 312 p.
15.5x23.5 cm
Thèmes de Deep Learning for Biometrics :
Mots-clés :
Deep Learning; Face; Fingerprint; Iris; Gait; Template Protection; Anti-Spoofing; Alexnet; CNN; RBM; Biometrics; Human Surveillance