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 cross-validation procedure. © 2011 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Ticay-Rivas, J. R., Del Pozo-Baños, M., Eberhard, W. G., Alonso, J. B., & Travieso, C. M. (2011). Spider Recognition by biometric web analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6687 LNCS, pp. 409–417). https://doi.org/10.1007/978-3-642-21326-7_44
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