Shruthi C.K., Balaji M, Arjun Sathish B.K, Dinesh S
{"title":"使用虹膜和生物识别技术进行银行交易","authors":"Shruthi C.K., Balaji M, Arjun Sathish B.K, Dinesh S","doi":"10.55041/ijsrem37037","DOIUrl":null,"url":null,"abstract":"Exact correlation of contactless 2D unique finger impression pictures with contact-based fingerprints is basic for the achievement of developing contactless 2D unique finger impression innovations, which offer more sterile and distortion free procurement of unique finger impression features. Convolutional neural systems (CNN) have demonstrated comment capable capacities in biometrics acknowledgment. Be that as it may, there has been nearly nil endeavor to coordinate unique mark pictures utilizing CNN- based methodologies. This paper builds up a CNN- based system to precisely coordinate contactless and contact-based unique mark pictures. Our structure right off the bat prepares a multi-Siamese CNN utilizing unique finger impression details, individual edge guide and particular district of edge outline. Key Words: Biometric, samples.","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"BANK TRANSACTION USING IRIS AND BIOMETRIC\",\"authors\":\"Shruthi C.K., Balaji M, Arjun Sathish B.K, Dinesh S\",\"doi\":\"10.55041/ijsrem37037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exact correlation of contactless 2D unique finger impression pictures with contact-based fingerprints is basic for the achievement of developing contactless 2D unique finger impression innovations, which offer more sterile and distortion free procurement of unique finger impression features. Convolutional neural systems (CNN) have demonstrated comment capable capacities in biometrics acknowledgment. Be that as it may, there has been nearly nil endeavor to coordinate unique mark pictures utilizing CNN- based methodologies. This paper builds up a CNN- based system to precisely coordinate contactless and contact-based unique mark pictures. Our structure right off the bat prepares a multi-Siamese CNN utilizing unique finger impression details, individual edge guide and particular district of edge outline. Key Words: Biometric, samples.\",\"PeriodicalId\":13661,\"journal\":{\"name\":\"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55041/ijsrem37037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55041/ijsrem37037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exact correlation of contactless 2D unique finger impression pictures with contact-based fingerprints is basic for the achievement of developing contactless 2D unique finger impression innovations, which offer more sterile and distortion free procurement of unique finger impression features. Convolutional neural systems (CNN) have demonstrated comment capable capacities in biometrics acknowledgment. Be that as it may, there has been nearly nil endeavor to coordinate unique mark pictures utilizing CNN- based methodologies. This paper builds up a CNN- based system to precisely coordinate contactless and contact-based unique mark pictures. Our structure right off the bat prepares a multi-Siamese CNN utilizing unique finger impression details, individual edge guide and particular district of edge outline. Key Words: Biometric, samples.