{"title":"基于场景需求的手指静脉识别技术算法研究","authors":"Zhou Zhou, En Guo, Lintao Yang, Shengkai Zhu","doi":"10.1117/12.2689642","DOIUrl":null,"url":null,"abstract":"With the rapid development of information technology, biometrics has been widely used in various fields of life.Among them, finger vein recognition technology, as a new technology in the field of biometrics, has been widely concerned because of its advantages of good security, high recognition accuracy and low requirements for acquisition conditions.In view of the low accuracy of the existing finger vein recognition and the influence of many factors such as finger rotation, translation and inaccurate placement, this paper optimizes the finger vein authentication technology by improving the algorithm: using three-dimensional vein authentication research, the finger vein pattern is obtained from four directions, which effectively overcomes the problem of incomplete pattern extraction.The contour of finger vein is extended to make better use of and transfer the shallow texture features and improve the recognition speed.The multi-feature fusion matching algorithm is used to greatly improve the robustness of the a lgorithm.According to the comparison of experimental data, the finger vein recognition technology algorithm in this paper has certain advantages and good application prospect.","PeriodicalId":118234,"journal":{"name":"4th International Conference on Information Science, Electrical and Automation Engineering","volume":"160 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on algorithm of finger vein recognition technology for scene demand application\",\"authors\":\"Zhou Zhou, En Guo, Lintao Yang, Shengkai Zhu\",\"doi\":\"10.1117/12.2689642\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of information technology, biometrics has been widely used in various fields of life.Among them, finger vein recognition technology, as a new technology in the field of biometrics, has been widely concerned because of its advantages of good security, high recognition accuracy and low requirements for acquisition conditions.In view of the low accuracy of the existing finger vein recognition and the influence of many factors such as finger rotation, translation and inaccurate placement, this paper optimizes the finger vein authentication technology by improving the algorithm: using three-dimensional vein authentication research, the finger vein pattern is obtained from four directions, which effectively overcomes the problem of incomplete pattern extraction.The contour of finger vein is extended to make better use of and transfer the shallow texture features and improve the recognition speed.The multi-feature fusion matching algorithm is used to greatly improve the robustness of the a lgorithm.According to the comparison of experimental data, the finger vein recognition technology algorithm in this paper has certain advantages and good application prospect.\",\"PeriodicalId\":118234,\"journal\":{\"name\":\"4th International Conference on Information Science, Electrical and Automation Engineering\",\"volume\":\"160 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"4th International Conference on Information Science, Electrical and Automation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2689642\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"4th International Conference on Information Science, Electrical and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2689642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on algorithm of finger vein recognition technology for scene demand application
With the rapid development of information technology, biometrics has been widely used in various fields of life.Among them, finger vein recognition technology, as a new technology in the field of biometrics, has been widely concerned because of its advantages of good security, high recognition accuracy and low requirements for acquisition conditions.In view of the low accuracy of the existing finger vein recognition and the influence of many factors such as finger rotation, translation and inaccurate placement, this paper optimizes the finger vein authentication technology by improving the algorithm: using three-dimensional vein authentication research, the finger vein pattern is obtained from four directions, which effectively overcomes the problem of incomplete pattern extraction.The contour of finger vein is extended to make better use of and transfer the shallow texture features and improve the recognition speed.The multi-feature fusion matching algorithm is used to greatly improve the robustness of the a lgorithm.According to the comparison of experimental data, the finger vein recognition technology algorithm in this paper has certain advantages and good application prospect.