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ZOOMETRICS - Biometric Identification of Wildlife using Natural Body Marks

Hoque, Sanaul, Azhar, M.A. Hannan Bin, Deravi, Farzin (2011) ZOOMETRICS - Biometric Identification of Wildlife using Natural Body Marks. International Journal of Bio-Science and Bio-Technology, 3 (3). pp. 45-53. ISSN 2233-7849. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:28366)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.

Abstract

Using physiological or behavioral characteristics to identify humans has been in use for quite some time now. Many wildlife animals also show distinctive natural body marks that can be used to identify them individually. Scientists in conservation research often use this approach but the process is manual and can be slow and error prone. This paper reports on an investigation to use biometric techniques for the identification of an important endangered species – The Great Crested Newt. The paper reports on novel techniques for extraction of the belly patterns of these animals as a source of biometric information. Features and classification techniques used for their automatic recognition are presented. The proposed approach is tested on a database of newts under investigation by conservationists. Preliminary studies are also reported on the ageing effects when belly images are compared over a number of years. The results suggest that such biometric techniques may be suitable for developing effective and flexible identification of wildlife in the field.

Item Type: Article
Uncontrolled keywords: zoometric, wildlife biometrics, pattern recognition, ageing, Great Crested Newt
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.B56 Biometric identification
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 04 Nov 2011 17:08 UTC
Last Modified: 16 Nov 2021 10:06 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/28366 (The current URI for this page, for reference purposes)

University of Kent Author Information

Hoque, Sanaul.

Creator's ORCID: https://orcid.org/0000-0001-8627-3429
CReDIT Contributor Roles:

Azhar, M.A. Hannan Bin.

Creator's ORCID:
CReDIT Contributor Roles:

Deravi, Farzin.

Creator's ORCID: https://orcid.org/0000-0003-0885-437X
CReDIT Contributor Roles:
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