掌纹识别技术综述

Jingjing Wang, Xinman Zhang, Weiyong Gong, Xuebin Xu
{"title":"掌纹识别技术综述","authors":"Jingjing Wang, Xinman Zhang, Weiyong Gong, Xuebin Xu","doi":"10.1109/CRC.2019.00027","DOIUrl":null,"url":null,"abstract":"Palmprint recognition, as a new biometrics technology, has attracted wide attention and research in recent years. Compared with other biometrics, palmprint has many unique advantages, including high recognition rate, low cost of acquisition equipment and good user acceptance. Firstly, this paper introduces the method of extracting the region of interest of palmprint image, the evaluation index of recognition system, the method of obtaining palmprint image by oneself and the commonly used palmprint databases. Then it introduces the method of identifying by extracting single palmprint features, and the method of identifying by fusing palmprint features and other biological features. What's more, it introduces the methods of feature matching, such as Fisher Linear Discriminant and Neural Network. In addition, it also introduces the application of palmprint recognition in life and the Android system developed in this paper. Finally, it makes the summary and prospect.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"12 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Summary of Palmprint Recognition Technology\",\"authors\":\"Jingjing Wang, Xinman Zhang, Weiyong Gong, Xuebin Xu\",\"doi\":\"10.1109/CRC.2019.00027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Palmprint recognition, as a new biometrics technology, has attracted wide attention and research in recent years. Compared with other biometrics, palmprint has many unique advantages, including high recognition rate, low cost of acquisition equipment and good user acceptance. Firstly, this paper introduces the method of extracting the region of interest of palmprint image, the evaluation index of recognition system, the method of obtaining palmprint image by oneself and the commonly used palmprint databases. Then it introduces the method of identifying by extracting single palmprint features, and the method of identifying by fusing palmprint features and other biological features. What's more, it introduces the methods of feature matching, such as Fisher Linear Discriminant and Neural Network. In addition, it also introduces the application of palmprint recognition in life and the Android system developed in this paper. Finally, it makes the summary and prospect.\",\"PeriodicalId\":414946,\"journal\":{\"name\":\"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)\",\"volume\":\"12 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CRC.2019.00027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRC.2019.00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

掌纹识别作为一种新兴的生物识别技术,近年来受到了广泛的关注和研究。与其他生物识别技术相比,掌纹具有识别率高、采集设备成本低、用户接受度高等独特优势。本文首先介绍了掌纹图像感兴趣区域的提取方法、识别系统的评价指标、自主获取掌纹图像的方法以及常用的掌纹数据库。然后介绍了提取单个掌纹特征的识别方法,以及融合掌纹特征和其他生物特征的识别方法。介绍了Fisher线性判别法和神经网络等特征匹配方法。此外,还介绍了掌纹识别在生活中的应用以及本文开发的Android系统。最后,对全文进行了总结和展望。
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
A Summary of Palmprint Recognition Technology
Palmprint recognition, as a new biometrics technology, has attracted wide attention and research in recent years. Compared with other biometrics, palmprint has many unique advantages, including high recognition rate, low cost of acquisition equipment and good user acceptance. Firstly, this paper introduces the method of extracting the region of interest of palmprint image, the evaluation index of recognition system, the method of obtaining palmprint image by oneself and the commonly used palmprint databases. Then it introduces the method of identifying by extracting single palmprint features, and the method of identifying by fusing palmprint features and other biological features. What's more, it introduces the methods of feature matching, such as Fisher Linear Discriminant and Neural Network. In addition, it also introduces the application of palmprint recognition in life and the Android system developed in this paper. Finally, it makes the summary and prospect.
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
The Literature Review on Control Methods of SOH and SOC for Supercapacitors Trajectory-Based Air-Writing Character Recognition Using Convolutional Neural Network Triboelectric Nanogenerator and Integration with Electrochemical Microsupercapacitor An Overview of Extreme Learning Machine Methods for Switching Multiple Speeds on a Single Link
×
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