|Title:||Improving spider recognition based on biometric web analysis||Authors:||Travieso Gonzalez, Carlos M.
Ticay-Rivas, Jaime Roberto
Del Pozo-Baños, Marcos
Eberhard, William G.
Alonso-Hernández, Jesús B.
|UNESCO Clasification:||3307 Tecnología electrónica||Keywords:||Spider webs , spider classification ,independent component analysis , support vector machine||Issue Date:||2012||Publisher:||0302-9743||Journal:||Lecture Notes in Computer Science||Conference:||17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012||Abstract:||This work presents an improvement of the automatic and supervised spider identification approach based on biometric spider web analysis. We have used as feature extractor, a Joint Approximate Diagonalization of Eigen-matrixes Independent Component Analysis applying to a binary image with a reduced size (20×20 pixels) from the colour original image. Finally, we have applied a least square support vector machine as classifier, reaching over 98.15% in our hold-50%-out validation. This system is making easier Biologists’ tasks in this field, because they can have a second opinion or have a tool for this work.||URI:||http://hdl.handle.net/10553/44026||ISBN:||9783642332746||ISSN:||0302-9743||DOI:||10.1007/978-3-642-33275-3_54||Source:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7441 LNCS, p. 438-446|
|Appears in Collections:||Actas de congresos|
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