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.

chapter 1|31 pages

Deep Learning: Fundamentals and Beyond

ByShruti Nagpal, Maneet Singh, Mayank Vatsa, Richa Singh

chapter 2|32 pages

Unconstrained Face Identification and Verification Using Deep Convolutional Features

ByJun-Cheng Chen *, Rajeev Ranjan *, Vishal M. Patel, Carlos D. Castillo, Rama Chellappa

chapter 3|19 pages

Deep Siamese Convolutional Neural Networks for Identical Twins and Look-Alike Identification

ByXiaoxia Sun, Amirsina Torfi, Nasser Nasrabadi

chapter 4|24 pages

Tackling the Optimization and Precision Weakness of Deep Cascaded Regression for Facial Key-Point Localization

ByYuhang Wu, Shishir K. Shah, Ioannis A. Kakadiaris

chapter 5|17 pages

Learning Deep Metrics for Person Reidentification

ByHailin Shi, Shengcai Liao, Dong Yi, Stan Z. Li

chapter 6|26 pages

Deep Face-Representation Learning for Kinship Verification

ByNaman Kohli, Daksha Yadav, Mayank Vatsa, Richa Singh, Afzel Noore

chapter 7|22 pages

What’s Hiding in My Deep Features?

ByEthan M. Rudd, Manuel Günther, Akshay R. Dhamija, Faris A. Kateb, Terrance E. Boult

chapter 8|21 pages

Stacked Correlation Filters

ByJonathon M. Smereka, Vishnu Naresh Boddeti, B. V. K. Vijaya Kumar

chapter 9|30 pages

Learning Representations for Unconstrained Fingerprint Recognition

ByAakarsh Malhotra, Anush Sankaran, Mayank Vatsa, Richa Singh

chapter 10|18 pages

Person Identification Using Handwriting Dynamics and Convolutional Neural Networks

ByGustavo H. Rosa, João P. Papa, Walter J. Scheirer

chapter 11|49 pages

Counteracting Presentation Attacks in Face, Fingerprint, and Iris Recognition

ByAllan Pinto, Helio Pedrini, Michael Krumdick, Benedict Becker, Adam Czajka, Kevin W. Bowyer, Anderson Rocha

chapter 12|11 pages

Fingervein Presentation Attack Detection Using Transferable Features from Deep Convolution Neural Networks

ByRaghavendra Ramachandra, Kiran B. Raja, Sushma Venkatesh, Christoph Busch