Spider recognition by biometric web analysis

Authors:
Jaime R. Ticay-Rivas;Marcos del Pozo-Baños;William G. Eberhard;Jesús B. Alonso;Carlos M. Travieso
Affiliations:
Signals and Communications Department Institute for Technological Development and Innovation in Communications, University of Las Palmas de Gran Canaria, Las Palmas, Spain;Signals and Communications Department Institute for Technological Development and Innovation in Communications, University of Las Palmas de Gran Canaria, Las Palmas, Spain;Smithsonian Tropical Research Institute and Escuela de Biologia Universidad de Costa Rica Ciudad Universitaria, Costa Rica;Signals and Communications Department Institute for Technological Development and Innovation in Communications, University of Las Palmas de Gran Canaria, Las Palmas, Spain;Signals and Communications Department Institute for Technological Development and Innovation in Communications, University of Las Palmas de Gran Canaria, Las Palmas, Spain
Venue:
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Year:
2011

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Abstract

Saving earth's biodiversity for future generations is an important global task. Spiders are creatures with a fascinating behaviour, overall in the way they build their webs. This is the reason this work proposed a novel problem: the used of spider webs as a source of information for specie recognition. To do so, biometric techniques such as image processing tools, Principal Component Analysis, and Support Vector Machine have been used to build a spider web identification system. With a database built of images from spider webs of three species, the system reached a best performance of 95,44 % on a 10 K-Folds crossvalidation procedure.