Deep learning in biometrics

Deep Learning is now synonymous with applied machine learning. Many technology giants (e.g. Google, Microsoft, Apple, IBM) as well as start-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to biometrics. This book covers topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoencoders. The focus is also on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints, while examining the future trends in deep learning and biometric research. Contains chapters written by authors who are leading researchers in biometrics. Presents a comprehensive overview on the internal mechanisms of deep learning. Discusses the latest developments in biometric research. Examines future trends in deep learning and biometric research. Provides extensive references at the end of each chapter to enhance further study.

Deep learning : fundamentals and beyond / Shruti Nagpal, Maneet Singh, Mayank Vatsa, and Richa Singh -- Unconstrained face identification and verification using deep convolutional features / Jun-Cheng Chen, Rajeev Ranjan, Vishal M. Patel, Carlos D. Castillo, and Rama Chellappa -- Deep Siamese convolutional neural networks for identical twins and look-alike identification / Xiaoxia Sun, Amirsina Torfi, and Nasser Nasrabadi -- Tackling the optimization and precision weakness of deep cascaded regression for facial key-point localization / Yuhang Wu, Shishir K. Shah, and Ioannis A. Kakadiaris -- Learning deep metrics for person re-identification / Hailin Shi, Shengcai Liao, Dong Yi, and Stan Z. Li -- Deep face representation learning for kinship verification / Naman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, and Afzel Noore -- What's hiding in my deep features? / Ethan M. Rudd, Manuel Gunther, Akshay R. Dhamija, Faris A. Kateb, and Terrance E. Boult -- Stacked correlation filters / Jonathon M. Smereka, Vishnu Naresh Boddeti, and B.V.K. Vijaya Kumar -- Learning representations for unconstrained fingerprint recognition / Aakarsh Malhotra, Anush Sankaran, Mayank Vatsa, and Richa Sin…