FFT特征在指纹匹配中的应用

S. Tachaphetpiboon, T. Amornraksa
{"title":"FFT特征在指纹匹配中的应用","authors":"S. Tachaphetpiboon, T. Amornraksa","doi":"10.1109/ISWPC.2006.1613625","DOIUrl":null,"url":null,"abstract":"In this paper, a feature extraction method based on the fast Fourier transform (FFT) is proposed for the use of fingerprint matching. The performance of our approach is evaluated by the amount of time required in the features extracting and feature matching processes. The recognition rate obtained from the proposed method is also evaluated by the k-NN classifier. The experimental results show that, by using our approach, the processing time in the features extraction and searching & matching processes is reduced by up to 34.95 times, and decreased by up to 0.39 milliseconds, respectively, compared to the method proposed in [6]. Furthermore, with our proposed method, the fingerprint recognition rate can be improved by 1.1% to 13.19%.","PeriodicalId":145728,"journal":{"name":"2006 1st International Symposium on Wireless Pervasive Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Applying FFT Features for Fingerprint Matching\",\"authors\":\"S. Tachaphetpiboon, T. Amornraksa\",\"doi\":\"10.1109/ISWPC.2006.1613625\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a feature extraction method based on the fast Fourier transform (FFT) is proposed for the use of fingerprint matching. The performance of our approach is evaluated by the amount of time required in the features extracting and feature matching processes. The recognition rate obtained from the proposed method is also evaluated by the k-NN classifier. The experimental results show that, by using our approach, the processing time in the features extraction and searching & matching processes is reduced by up to 34.95 times, and decreased by up to 0.39 milliseconds, respectively, compared to the method proposed in [6]. Furthermore, with our proposed method, the fingerprint recognition rate can be improved by 1.1% to 13.19%.\",\"PeriodicalId\":145728,\"journal\":{\"name\":\"2006 1st International Symposium on Wireless Pervasive Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 1st International Symposium on Wireless Pervasive Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWPC.2006.1613625\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 1st International Symposium on Wireless Pervasive Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWPC.2006.1613625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

本文提出了一种基于快速傅里叶变换(FFT)的指纹特征提取方法。我们的方法的性能是通过特征提取和特征匹配过程所需的时间来评估的。用k-NN分类器对该方法的识别率进行了评价。实验结果表明,与[6]中提出的方法相比,该方法在特征提取和搜索匹配过程中的处理时间分别缩短了34.95倍和0.39毫秒。此外,采用本文提出的方法,指纹识别率可提高1.1%至13.19%。
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
Applying FFT Features for Fingerprint Matching
In this paper, a feature extraction method based on the fast Fourier transform (FFT) is proposed for the use of fingerprint matching. The performance of our approach is evaluated by the amount of time required in the features extracting and feature matching processes. The recognition rate obtained from the proposed method is also evaluated by the k-NN classifier. The experimental results show that, by using our approach, the processing time in the features extraction and searching & matching processes is reduced by up to 34.95 times, and decreased by up to 0.39 milliseconds, respectively, compared to the method proposed in [6]. Furthermore, with our proposed method, the fingerprint recognition rate can be improved by 1.1% to 13.19%.
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
Effects of digital filtering technique in reducing the effects of clipping of an enhanced orthogonal frequency division multiplexing system Secure data aggregation using commitment schemes and quasi commutative functions Periodic Spectrum Transmission for Single-Carrier Frequency-Domain Equalization Employing Space-Time Transmit Diversity Transmit diversity systems with antenna replacement and its application to space time block coding transmission Comparison of opportunistic scheduling policies in time-slotted AMC wireless networks
×
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