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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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