{"title":"基于掌纹识别傅里叶变换的实时身份识别","authors":"Shunyu Yang","doi":"10.1109/IBICA.2011.89","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a real time personal identification based on Fourier transform for palm-print recognition. An auto hand gesture segmentation method is proposed in the paper and after the segmentation, a modified Fourier transform are used for the image processing. Machine leaning based trainings are used to get the palm print trait database. At last, performances are shown for theidentification.","PeriodicalId":158080,"journal":{"name":"2011 Second International Conference on Innovations in Bio-inspired Computing and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Real Time Personal Identification Based on Fourier Transform of Palmprint Recognition\",\"authors\":\"Shunyu Yang\",\"doi\":\"10.1109/IBICA.2011.89\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a real time personal identification based on Fourier transform for palm-print recognition. An auto hand gesture segmentation method is proposed in the paper and after the segmentation, a modified Fourier transform are used for the image processing. Machine leaning based trainings are used to get the palm print trait database. At last, performances are shown for theidentification.\",\"PeriodicalId\":158080,\"journal\":{\"name\":\"2011 Second International Conference on Innovations in Bio-inspired Computing and Applications\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Second International Conference on Innovations in Bio-inspired Computing and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IBICA.2011.89\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Second International Conference on Innovations in Bio-inspired Computing and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IBICA.2011.89","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Real Time Personal Identification Based on Fourier Transform of Palmprint Recognition
In this paper, we propose a real time personal identification based on Fourier transform for palm-print recognition. An auto hand gesture segmentation method is proposed in the paper and after the segmentation, a modified Fourier transform are used for the image processing. Machine leaning based trainings are used to get the palm print trait database. At last, performances are shown for theidentification.
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