Towards Automated Biometric Identification of Sea Turtles (Chelonia mydas)

Irwandi Hipni, Bin Mohamad Hipiny and Hamimah, Binti Ujir and Aazani, binti Mujahid and Nurhartini Kamalia, Binti Yahya (2018) Towards Automated Biometric Identification of Sea Turtles (Chelonia mydas). Journal of ICT Research and Applications, 12 (3). pp. 256-266. ISSN 2337-5787

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Abstract

Passive biometric identification enables wildlife monitoring with minimal disturbance. Using a motion-activated camera placed at an elevated position and facing downwards, we collected images of sea turtle carapace, each belonging to one of sixteen Chelonia mydas juveniles. We then learned co-variant and robust image descriptors from these images, enabling indexing and retrieval. In this work, we presented several classification results of sea turtle carapaces using the learned image descriptors. We found that a template-based descriptor, i.e., Histogram of Oriented Gradients (HOG) performed exceedingly better during classification than keypoint-based descriptors. For our dataset, a high-dimensional descriptor is a must due to the minimal gradient and color information inside the carapace images. Using HOG, we obtained an average classification accuracy of 65%.

Item Type: Article
Uncontrolled Keywords: visual animal biometrics; template matching, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Mohamad Hipiny
Date Deposited: 12 Feb 2019 06:22
Last Modified: 10 Jul 2019 08:20
URI: http://ir.unimas.my/id/eprint/23328

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