NDLI: SURF-based mammalian species identification system

Content Provider	Springer Nature Link
Author	Otero, Beatriz Rodriguez, Eva Ventura, Jacint
Copyright Year	2016
Abstract	The development of tools for the automated identification of species will reduce the burden of routine identifications conducted by many biologists. The design of these tools is difficult because it depends on the proper extraction of those most relevant characteristics of the image, namely, those unequivocally identify its species. The appropriate software for such extraction does not exist in all cases. This work proposes an architecture for the automated identification of the skulls of different mammalian species belonging to the order Eulipotyphla, which includes shrews, moles and hedgehogs, among others. Our system determines nine species of this mammalian group using existing object recognition techniques, identifying them based on a set of images of the skulls of these species in a digital image database. To validate the proposed architecture, mobile and web applications have been developed. These applications use the image recognition technology provided by the OpenCV library for the detection of the keypoints and matching of the images. The application extracts the descriptor of the input image using the Speed Up Robust Features (SURF) method and compares this descriptor against the image database for matching using a Euclidean distance based on the nearest-neighbor approach. The initial tests have achieved a reliability of 98 %.
Starting Page	10133
Ending Page	10147
Page Count	15
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	76
Issue Number	7
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2016-05-31
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Species identification Image recognition system OpenCV SURF Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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