{"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":"95 1","pages":"0"},"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\":\"95 1\",\"pages\":\"0\"},\"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}
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%.