Animal Biometrics : Techniques and Applications / by Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh.

Format:

Book

Author/Creator:

Kumar, Santosh, author.

Singh, S. K. (Sanjay Kumar), author.

Singh, Rishav, author.

Singh, Amit Kumar, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Pattern perception.

Optical data processing.

Data encryption (Computer science).

Biometry.

Pattern Recognition.

Image Processing and Computer Vision.

Cryptology.

Biometrics.

Local Subjects:

Pattern Recognition.

Image Processing and Computer Vision.

Cryptology.

Biometrics.

Physical Description:

1 online resource (XXVIII, 243 pages) : 90 illustrations, 77 illustrations in color

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2017.

System Details:

text file PDF

Summary:

This book presents state-of-the-art methodologies and a comprehensive introduction to the recognition and representation of species and individual animals based on their physiological and phenotypic appearances, biometric characteristics, and morphological image patterns. It provides in-depth coverage of this emerging area, with an emphasis on the design and analysis techniques used in visual animal biometrics-based recognition systems. The book offers a comprehensive introduction to visual animal biometrics, addressing a range of recent advances and practices like sensing, feature extraction, feature selection and representation, matching, indexing of feature sets, and animal biometrics-based multimodal systems. It provides authoritative information on all the major concepts, as well as highly specific topics, e.g. the identification of cattle based on their muzzle point image pattern and face images to prevent false insurance claims, or the monitoring and registration of animals based on their biometric features. As such, the book provides a sound platform for understanding the Visual Animal Biometrics paradigm, a vital catalyst for researchers in the field, and a valuable guide for professionals. In addition, it can help both private and public organizations adapt and enhance their classical animal recognition systems.

Contents:

Chapter 1. Introduction

Chapter 2. Animal Biometric System

Chapter 3. Animal Biometrics based Approaches

Chapter 4. Classical Animal Recognition Methodology and Frameworks

Chapter 5. Animal Biometrics based Recognition Systems (Based on Current State of the Art Approaches)

Chapter 6. Representation and Identification of Species: Computer Vision and Pattern Recognition Models

Chapter 7. Emerging Trends and Future Challenges. .

Other Format:

Printed edition:

ISBN:

978-981-10-7956-6

9789811079566

9789811079559

9789811079573

9789811340277

Access Restriction:

Restricted for use by site license.