**Introductory Chapter: Machine Learning and Biometrics** Introductory Chapter: Machine Learning and Biometrics

DOI: 10.5772/intechopen.79346

Jucheng Yang, Yarui Chen, Chuanlei Zhang, Dong Sun Park and Sook Yoon Jucheng Yang, Yarui Chen, Chuanlei Zhang,

Additional information is available at the end of the chapter Additional information is available at the end of the chapter

http://dx.doi.org/10.5772/intechopen.79346

Dong Sun Park and Sook Yoon

1. Introduction

We are entering the era of artificial intelligence and big data, and thus, systems are becoming more intelligent with performance even to a human level in limited applications. We also connect every part of the globe with ultrahigh-speed Internet to share information in almost real time, and innovatively make changes on the life style of people. At the core of artificial intelligence, machine learning algorithms contribute to semiautomatically or automatically develop highly intelligent systems by overcoming existing difficulties for various fields including applications on engineering, business, science, and pure art.

Biometrics are emerging as essential technologies for Internet-era intelligent systems to ensure both computer and network securities as well as security for stand-alone equipment. To achieve a very high-level performance and more intelligent as intended, recent machine learning algorithms with state-of-the-art architectures can be applied to those biometric systems. In the book, we introduce some representative biometrics, discuss major characteristics of samples from corresponding biometric, and also describe their effective features and descriptors. We also introduce the well-known supervised machine learning algorithms and deep learning in separate chapters along with their applications to biometric studies.
