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Animal Biometrics

Techniques and Applications

  • Discusses recent and future advancements in visual animal biometrics

  • Presents novel and recent detection and representation-based machine learning and computer vision algorithms for the recognition of animals based on their phenotypic appearances, morphological image patterns, and biometric characteristics

  • Highlights several potential visual animal biometrics techniques, as well as their applications

  • Presents important fundamentals of fingerprint-based recognition and representation

  • Establishes secure recognition systems for cattle based on their faces and muzzles

  • Points out major shortcomings of traditional non-animal-biometrics-based recognition and monitoring systems

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eBook USD 84.99
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  • ISBN: 978-981-10-7956-6
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  • Tax calculation will be finalised during checkout
Softcover Book USD 109.00
Price excludes VAT (USA)
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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xxviii
  2. Animal Biometrics: Concepts and Recent Application

    • Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh
    Pages 1-20
  3. Analytical Study of Animal Biometrics: A Technical Survey

    • Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh
    Pages 21-78
  4. Recognition of Cattle Using Face Images

    • Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh
    Pages 79-110
  5. Muzzle Point Pattern-Based Techniques for Individual Cattle Identification

    • Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh
    Pages 111-135
  6. Identification of Cattle Based on Muzzle Point Pattern: A Hybrid Feature Extraction Paradigm

    • Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh
    Pages 137-161
  7. Deep Learning Framework for Recognition of Cattle Using Muzzle Point Image Pattern

    • Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh
    Pages 163-195
  8. Real-Time Recognition of Cattle Using Fisher Locality Preserving Projection Method

    • Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh
    Pages 197-221
  9. Biometric Methods for Animal: Recent Trends and Future Challenges

    • Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh
    Pages 223-243

About this book

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.

Keywords

  • Animal Biometrics
  • Multimodal Recognition System
  • Cattle Muzzle Point Based Recognition System
  • Feature Extraction
  • Template Generation and Matching

Authors and Affiliations

  • Department of Computer Science and Engineering, Dr. SPM IIIT Naya Raipur, Naya Raipur, India

    Santosh Kumar

  • Department of Computer Science Engineering, Indian Institute of Technology (B.H.U), Varanasi, India

    Sanjay Kumar Singh

  • Department of Computer Science Engineering, Bennett University, Greater Noida, India

    Rishav Singh

  • Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan, India

    Amit Kumar Singh

About the authors

Dr Santosh Kumar

Dr Santosh Kumar is an Assistant Professor of Computer Science and Engineering. Prior to joining the International Institute of Information Technology-Naya Raipur (IIIT-Naya Raipur), Chhattisgarh, he was a Ph.D. scholar at the Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University) (IIT (BHU)), Varanasi, Uttar Pradesh, India. He is a member of the Computer Society and the Association for Computing Machinery. He has published and presented over 25 research papers including book chapters in reputed journals and at numerous reputed national and international conferences. His research interests include Animal Biometrics, Computer Vision, Machine Learning, Pattern Recognition, Wireless Sensors, and the Internet of Things (IoT).

Dr Sanjay Kumar Singh

Dr Sanjay Kumar Singh completed his B.Tech. in Computer Engineering, M.Tech. in Computer Applications and Ph.D. in Computer Science and Engineering. Currently, he is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), (IIT (BHU)), Varanasi, Uttar Pradesh, India. He is a Certified Novell Engineer (CNE) and Certified Novell Administrator (CNA) from Novell Netware, USA. He is a member of LIMSTE, the IEE, the International Association of Engineers and the ISCE. His research areas include Biometrics, Computer Vision, Image Processing, Video Processing, Pattern Recognition, Artificial Intelligence and Big Data.

Dr Rishav Singh

Dr Rishav Singh received his B.Tech. from C. V. Raman College of Engineering (CVRCE), Orissa, India, in 2009. He completed his M.Tech. at Jaypee University of Information Technology (JUIT), India, in 2011 and his Ph.D. at the Indian Institute of Technology (Indian School of Mines) (IIT(ISM)), Dhanbad, in 2017. He has extensive IT experience, with proven expertise in the full software development lifecycle including requirement analysis, designing, coding, deploying the code in different environments and implementation of software applications using R, Cassandra, Machine Learning, Cloudera Hadoop (Map-Reduce), HBase and Hive. His research interests include Big Data & Analytics, Machine Learning, Biometrics and Image Processing.

Dr Amit Kumar Singh

Dr Amit Kumar Singh is currently working as an Assistant Professor (Senior Grade) at the Department of Computer Science and Engineering, Jaypee University of Information Technology (JUIT), India. He completed his Ph.D. degree at the Department of Computer Engineering, National Institute of Technology (NIT), Kurukshetra in 2015. Recently, Dr Singh was appointed as Associate Editor of IEEE Access and Multimedia Tools and Applications (MTAP), Springer. He has published and presented over 50 research papers in reputed journals and at various national and international conferences. His important research contributions include developing watermarking methods that offer a good trade-off between major parameters i.e., perceptual quality, robustness, embedding capacity and the security of watermark embedding into digital images. His research interests include Data Hiding, Biometrics and Cryptography.

Bibliographic Information

  • Book Title: Animal Biometrics

  • Book Subtitle: Techniques and Applications

  • Authors: Santosh Kumar, Sanjay Kumar Singh, Rishav Singh, Amit Kumar Singh

  • DOI: https://doi.org/10.1007/978-981-10-7956-6

  • Publisher: Springer Singapore

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Singapore Pte Ltd. 2017

  • Hardcover ISBN: 978-981-10-7955-9

  • Softcover ISBN: 978-981-13-4027-7

  • eBook ISBN: 978-981-10-7956-6

  • Edition Number: 1

  • Number of Pages: XXVIII, 243

  • Number of Illustrations: 13 b/w illustrations, 77 illustrations in colour

  • Topics: Automated Pattern Recognition, Computer Vision, Cryptology, Biometrics

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • ISBN: 978-981-10-7956-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 109.00
Price excludes VAT (USA)
Hardcover Book USD 109.00
Price excludes VAT (USA)