"Machine Learning and Biometrics" ed. by Jucheng Yang, et al.

This book introduces some new techniques on biometrics and machine learning, and new proposals of using machine learning techniques for biometrics as well.

We are entering the era of big data, and machine learning can be used to analyze this deluge of data automatically. Machine learning has been used to solve many interesting and often difficult real-world problems, and the biometrics is one of the leading applications of machine learning.
This book consists of two parts: "Biometrics" and "Machine Learning for Biometrics." Parts I and II contain four and three chapters, respectively. The book is reviewed by editors: Prof. Jucheng Yang, Prof. Dong Sun Park, Prof. Sook Yoon, Dr. Yarui Chen, and Dr. Chuanlei Zhang.

Contents

1. Introductory Chapter: Machine Learning and Biometrics
2. Recognition of Eye Characteristics
3. A Survey on Soft Biometrics for Human Identification
4. Face Recognition with Facial Occlusion Based on Local Cycle Graph Structure Operator
5. Electrocardiogram Recognization Based on Variational AutoEncoder
6. A Survey on Methods of Image Processing and Recognition for Personal Identification
7. A Human Body Mathematical Model Biometric Using Golden Ratio: A New Algorithm


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