Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44050
Título: Spider Recognition by biometric web analysis
Autores/as: Ticay-Rivas, Jaime R.
Del Pozo-Baños, Marcos
Eberhard, William G.
Alonso, Jesús B. 
Travieso, Carlos M. 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Spider webs, spider classification, principal component analysis, support vector machine
Fecha de publicación: 2011
Editor/a: 0302-9743
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 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 
Resumen: 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
Fuente: 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
Colección:Actas de congresos
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