基于掌纹的在线身份验证系统

M. Aykut, E. Gedi̇kli̇, M. Ekinci
{"title":"基于掌纹的在线身份验证系统","authors":"M. Aykut, E. Gedi̇kli̇, M. Ekinci","doi":"10.1109/SIU.2010.5651372","DOIUrl":null,"url":null,"abstract":"A biometric verification system based on palmprint recognition works at the real enviroments is presented in this work. This system initially detects all objects entered in the view of a CCD camera which is settled into hand placement platform. The detected objects are classified as hand objects or not by applying the processes on the image sequences acquired from the camera. In the case of hand object, a palm area as region of interest (ROI) is then selected from the hand regions. The resolution and gray levels of the ROI are also normalized to achieve higher accuracy. In the pattern recognition stage, a gabor-palm image is first created by applying Gabor-based discrete transform, then two different feature extraction approaches (both PCA and KPCA) and two classifications (NN based WED, SVM) methods are simultaneously applied onto the gabor-palmprint images, respectively. In this system, the entrance of a PC room is controlled by authorising of the users whose are successfully verified. The enrollment and verification processes in the presented system are fully performed automatically. The experimental results performed on the real environments show that the proposed biometric system can be easily employed with highly reliable performances in the real applications.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Online identity verification system based on palmprint\",\"authors\":\"M. Aykut, E. Gedi̇kli̇, M. Ekinci\",\"doi\":\"10.1109/SIU.2010.5651372\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A biometric verification system based on palmprint recognition works at the real enviroments is presented in this work. This system initially detects all objects entered in the view of a CCD camera which is settled into hand placement platform. The detected objects are classified as hand objects or not by applying the processes on the image sequences acquired from the camera. In the case of hand object, a palm area as region of interest (ROI) is then selected from the hand regions. The resolution and gray levels of the ROI are also normalized to achieve higher accuracy. In the pattern recognition stage, a gabor-palm image is first created by applying Gabor-based discrete transform, then two different feature extraction approaches (both PCA and KPCA) and two classifications (NN based WED, SVM) methods are simultaneously applied onto the gabor-palmprint images, respectively. In this system, the entrance of a PC room is controlled by authorising of the users whose are successfully verified. The enrollment and verification processes in the presented system are fully performed automatically. The experimental results performed on the real environments show that the proposed biometric system can be easily employed with highly reliable performances in the real applications.\",\"PeriodicalId\":152297,\"journal\":{\"name\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 18th Signal Processing and Communications Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIU.2010.5651372\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 18th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2010.5651372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文提出了一种基于掌纹识别的真实环境下的生物特征验证系统。该系统首先检测所有进入CCD相机视野的物体,CCD相机安装在手放置平台上。通过对从相机获取的图像序列进行处理,将检测到的物体分类为手物体或非手物体。在手部物体的情况下,然后从手部区域中选择手掌区域作为感兴趣区域(ROI)。对ROI的分辨率和灰度级也进行了归一化处理,以达到更高的精度。在模式识别阶段,首先通过基于gabor的离散变换生成gabor掌纹图像,然后分别对gabor掌纹图像分别应用两种不同的特征提取方法(PCA和KPCA)和两种分类方法(基于神经网络的WED和SVM)。在该系统中,通过对验证成功的用户进行授权来控制机房的入口。系统中的注册和验证过程完全自动执行。在实际环境中进行的实验结果表明,所提出的生物识别系统在实际应用中具有较高的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online identity verification system based on palmprint
A biometric verification system based on palmprint recognition works at the real enviroments is presented in this work. This system initially detects all objects entered in the view of a CCD camera which is settled into hand placement platform. The detected objects are classified as hand objects or not by applying the processes on the image sequences acquired from the camera. In the case of hand object, a palm area as region of interest (ROI) is then selected from the hand regions. The resolution and gray levels of the ROI are also normalized to achieve higher accuracy. In the pattern recognition stage, a gabor-palm image is first created by applying Gabor-based discrete transform, then two different feature extraction approaches (both PCA and KPCA) and two classifications (NN based WED, SVM) methods are simultaneously applied onto the gabor-palmprint images, respectively. In this system, the entrance of a PC room is controlled by authorising of the users whose are successfully verified. The enrollment and verification processes in the presented system are fully performed automatically. The experimental results performed on the real environments show that the proposed biometric system can be easily employed with highly reliable performances in the real applications.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信