**Biometrics**

**Chapter 1**

Provisional chapter

**Introductory Chapter: Machine Learning and**

Introductory Chapter: Machine Learning and Biometrics

DOI: 10.5772/intechopen.79346

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 includ-

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

Biometrics has rapidly developed in recent years with its worldwide applications for daily life. Biometrics authentication or recognition is to identify individuals based on the biometrics characteristics using a variety of types of algorithms [1]. Biometrics can be broadly categorized

> © 2016 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and eproduction in any medium, provided the original work is properly cited.

© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use,

distribution, and reproduction in any medium, provided the original work is properly cited.

Jucheng Yang, Yarui Chen, Chuanlei Zhang,

Jucheng Yang, Yarui Chen, Chuanlei Zhang,

Additional information is available at the end of the chapter

ing applications on engineering, business, science, and pure art.

in separate chapters along with their applications to biometric studies.

Additional information is available at the end of the chapter

Dong Sun Park and Sook Yoon

Dong Sun Park and Sook Yoon

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

**Biometrics**

1. Introduction

2. Biometrics

Provisional chapter
