耳廓形状表示与特征提取的几何算法

M. Choraś, R. Choras
{"title":"耳廓形状表示与特征提取的几何算法","authors":"M. Choraś, R. Choras","doi":"10.1109/ISDA.2006.253879","DOIUrl":null,"url":null,"abstract":"In the article we present discrete geometrical algorithms of open contours representation, feature extraction and recognition. The proposed algorithms were developed for ear biometrics, but they can be also applied in other contour image processing applications. Firstly we present mathematical and algorithmic foundations of our geometrical feature extraction methods. We also discuss their application and the achieved results for ear contour image analysis and recognition","PeriodicalId":116729,"journal":{"name":"Sixth International Conference on Intelligent Systems Design and Applications","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"56","resultStr":"{\"title\":\"Geometrical Algorithms of Ear Contour Shape Representation and Feature Extraction\",\"authors\":\"M. Choraś, R. Choras\",\"doi\":\"10.1109/ISDA.2006.253879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the article we present discrete geometrical algorithms of open contours representation, feature extraction and recognition. The proposed algorithms were developed for ear biometrics, but they can be also applied in other contour image processing applications. Firstly we present mathematical and algorithmic foundations of our geometrical feature extraction methods. We also discuss their application and the achieved results for ear contour image analysis and recognition\",\"PeriodicalId\":116729,\"journal\":{\"name\":\"Sixth International Conference on Intelligent Systems Design and Applications\",\"volume\":\"140 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"56\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sixth International Conference on Intelligent Systems Design and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISDA.2006.253879\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixth International Conference on Intelligent Systems Design and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDA.2006.253879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 56

摘要

在本文中,我们提出了离散几何算法的开放轮廓表示,特征提取和识别。提出的算法是为耳朵生物识别而开发的,但它们也可以应用于其他轮廓图像处理应用。首先介绍了几何特征提取方法的数学基础和算法基础。讨论了它们在耳廓图像分析和识别中的应用及取得的成果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Geometrical Algorithms of Ear Contour Shape Representation and Feature Extraction
In the article we present discrete geometrical algorithms of open contours representation, feature extraction and recognition. The proposed algorithms were developed for ear biometrics, but they can be also applied in other contour image processing applications. Firstly we present mathematical and algorithmic foundations of our geometrical feature extraction methods. We also discuss their application and the achieved results for ear contour image analysis and recognition
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Improved Lagrange Nonlinear Programming Neural Networks for Inequality Constraints Enhancement Filter for Computer-Aided Detection of Pulmonary Nodules on Thoracic CT images A View-Based Toeplitz-Matrix-Supported System for Word Recognition without Segmentation A Novel Spatial Clustering with Obstacles Constraints Based on Genetic Algorithms and K-Medoids An Intelligent Runoff Forecasting Method Based on Fuzzy sets, Neural network and Genetic Algorithm
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1