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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25734

Title: Non-invasive lizard identification using signature curves
Authors: Li, Jimmy Siu
Tohl, Damian
Randhawa, Sharmil
Shamimi, Leili
Bull, Christopher Michael
Keywords: Lizard identification
Hough transform
Signature curve
Non-invasive
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Li, J., Tohl, D., Randhawa, S., Shamimi, L. and Bull, C.M. 2009. Non-invasive lizard identification using signature curves. 2009 IEEE Region 10 Conference (TENCON 2009), 1-5.
Abstract: A novel non-invasive method is proposed to help identify the endangered Pygmy Bluetongue Lizard. This would be preferable to the commonly used, invasive, toe-clipping method, which could be unreliable if the lizard was to lose a toe or foot naturally. Each lizard has a unique and permanent scale pattern which can be used to identify individual lizards. The proposed method involves a novel technique to derive a signature curve from the Hough transform output of the lizard scale pattern such that the signature curve is scale and shift invariant. It has been found that a lizard can be successfully identified by comparing its signature curve with those signature curves of all registered lizards stored in a database.
URI: http://hdl.handle.net/2328/25734
ISBN: 9781424445462
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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