AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges

ISBN-13: 9780367422448 / Angielski / Twarda / 2021 / 364 str.

Gaurav Jaswal; Vivek Kanhangad; Raghavendra Ramachandra

Opis

This book focuses on artificial intelligence and deep learning approaches, with case studies to solve problems associated with biometric security such as authentication, spoofing attack detection, and object detection.

Spis treści

Chapter 1 Deep Learning-Based Hyperspectral Multimodal Biometric Authentication System Using Palmprint and Dorsal Hand Vein Shuping Zhao, Wei Nie, and Bob Zhang Chapter 2 Cancelable Biometrics for Template Protection: Future Directives with Deep Learning Avantika Singh, Gaurav Jaswal, and Aditya Nigam Chapter 3 On Training Generative Adversarial Network for Enhancement of Latent Fingerprints Indu Joshi, Adithya Anand, Sumantra Dutta Roy, and Prem Kumar Kalra Chapter 4 DeepFake Face Video Detection Using Hybrid Deep Residual Networks and LSTM Architecture Semih Yavuzkilic, Zahid Akhtar, Abdulkadir Sengur, and Kamran Siddique Chapter 5 Multi-spectral Short-Wave Infrared Sensors and Convolutional Neural Networks for Biometric Presentation Attack Detection Marta Gomez-Barrero, Ruben Tolosana, Jascha Kolberg, and Christoph Busch Chapter 6 AI-Based Approach for Person Identification Using ECG Biometric Amit Kaul, A.S. Arora, and Sushil Chauhan Chapter 7 Cancelable Biometric Systems from Research to Reality: The Road Less Travelled Harkeerat Kaur and Pritee Khanna Chapter 8 Gender Classification under Eyeglass Occluded Ocular Region: An Extensive Study Using Multi-spectral Imaging Narayan Vetrekar, Raghavendra Ramachandra, Kiran Raja, and R. S. Gad Chapter 9 Investigation of the Fingernail Plate for Biometric Authentication using Deep Neural Networks Surabhi Hom Choudhury, Amioy Kumar, and Shahedul Haque Laskar Chapter 10 Fraud Attack Detection in Remote Verification Systems for Non-enrolled Users Ignacio Viedma, Sebastian Gonzalez, Ricardo Navarro, and Juan Tapia Chapter 11 Indexing on Biometric Databases Geetika Arora, Jagdiah C. Joshi, Karunesh K. Gupta, and Kamlesh Tiwari Chapter 12 Iris Segmentation in the Wild Using Encoder-Decoder-Based Deep Learning Techniques Shreshth Saini, Divij Gupta, Ranjeet Ranjan Jha, Gaurav Jaswal, and Aditya Nigam Chapter 13 PPG-Based Biometric Recognition: Opportunities with Machine and Deep Learning Amit Kaul and Akhil Walia Chapter 14 Current Trends of Machine Learning Techniques in Biometrics and its Applications B. S. Maaya and T. Asha