根据蜘蛛网识别蜘蛛种类的生物特征分析

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI:10.1109/IC3.2017.8284286

David Batista-Plaza, C. Travieso-González, M. Dutta, Anushikha Singh

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引用次数: 0

摘要

本文提出了一种基于变换域和支持向量机作为分类器的蜘蛛生物识别方法。该数据集由185张蜘蛛网图像组成。这项工作的目的是利用蜘蛛网的结构来识别蜘蛛的种类。实验采用了两种不同的分割块，对蜘蛛网的整体和中心进行了分析。经过不同组合的运行，达到了最佳的精度。

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Biometric analysis for the recognition of spider species according to their webs

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.

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2017 Tenth International Conference on Contemporary Computing (IC3)

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