Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44050
Title: Spider Recognition by biometric web analysis
Authors: Ticay-Rivas, Jaime R.
Del Pozo-Baños, Marcos
Eberhard, William G.
Alonso, Jesús B. 
Travieso, Carlos M. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Spider webs, spider classification, principal component analysis, support vector machine
Issue Date: 2011
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 4th International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC) 
4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011 
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.
URI: http://hdl.handle.net/10553/44050
ISBN: 9783642213250
ISSN: 0302-9743
DOI: 10.1007/978-3-642-21326-7_44
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 6687 LNCS, p. 409-417
Appears in Collections:Actas de congresos
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