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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Improving Spider Recognition Based on Biometric Web Analysis
verfasst von : Carlos M. Travieso Gonzalez, Jaime Roberto Ticay-Rivas, Marcos del Pozo-Baños, William G. Eberhard, Jesús B. Alonso-Hernández
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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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.