Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/73335
| Title: | Biometric Analysis For The Recognition of Spider Species According to Their Webs | Authors: | Batista-Plaza, David Travieso, Carlos M. Dutta, Malay Kishore Singh, Anushikha |
UNESCO Clasification: | 220990 Tratamiento digital. Imágenes | Keywords: | Image Processing Image Segmentation Pattern Recognition Classification System |
Issue Date: | 2017 | Journal: | 2017 Tenth International Conference On Contemporary Computing (Ic3) | Conference: | 10th International Conference on Contemporary Computing (IC3) | Abstract: | This work presents a biometric approach for spider identification based on transform domain and Support Vector Machines as classifier. The dataset is composed by 185 images of spider web. The goal of this work is to use the structure of spider web for identifying the kind of spider. The experiments were done using two different of segmentation blocks and the analysis of the whole and center of the spider web. The best accuracy is reached after to run the different combinations. | URI: | http://hdl.handle.net/10553/73335 | ISBN: | 978-1-5386-3077-8 | ISSN: | 2572-6110 | Source: | 2017 Tenth International Conference On Contemporary Computing (Ic3)[ISSN 2572-6110], p. 7-12, (2017) |
| Appears in Collections: | Actas de congresos |
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