David Batista-Plaza, C. Travieso-González, M. Dutta, Anushikha Singh
{"title":"Biometric analysis for the recognition of spider species according to their webs","authors":"David Batista-Plaza, C. Travieso-González, M. Dutta, Anushikha Singh","doi":"10.1109/IC3.2017.8284286","DOIUrl":null,"url":null,"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.","PeriodicalId":147099,"journal":{"name":"2017 Tenth International Conference on Contemporary Computing (IC3)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Tenth International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2017.8284286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
