ZOOMETRICS - Biometric Identification of Wildlife using Natural Body Marks

Hoque, Sanaul and Azhar, M.A. Hannan Bin and 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)

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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 (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.B56 Biometrics
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 04 Nov 2011 17:08
Last Modified: 08 May 2014 08:39
Resource URI: https://kar.kent.ac.uk/id/eprint/28366 (The current URI for this page, for reference purposes)
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