Yoganandar Chandrasekran, C. R. Ramachandiran, Kuruvikulam Chandrasekaran Arun
{"title":"自动柜员机采用生物识别技术的未来银行业务","authors":"Yoganandar Chandrasekran, C. R. Ramachandiran, Kuruvikulam Chandrasekaran Arun","doi":"10.1109/icdcece53908.2022.9793028","DOIUrl":null,"url":null,"abstract":"The banking sector are improvising their services on regular basis but the implementation of biometrics in Automated Teller Machine has never been a solution as the information is lacking and the full potential of this mechanism has not been explored. Researchers highlighted about the biometric technology an in-depth study is done to identify the available types of biometric technology which lead and suits the idea of future banking. The major finding by reviewers leads to the high potential of biometric as security aspect in achieving an ideal future banking solution through a comparison of biometrics, where fingerprint biometrics has an average of above 50 percent on compatibility and the flexibility of the implementation and benefits compared to face image, iris recognition, voice recognition and vein pattern. Past reviews highlighted that another factor that determine that the facial and iris recognition can be a possibility or a substitute for fingerprint recognition is the complexity where attempts to steal this type of security solution is almost to impossible. Biometric technology is proven that it is a technology which able to enlighten any banks towards a desired future banking ideal. This paper will identify the adoption of biometric technology in Automated Teller Machine and its gaps in achieve the ideal future banking.","PeriodicalId":417643,"journal":{"name":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Adoption of Future Banking Using Biometric Technology in Automated Teller Machine (ATM)\",\"authors\":\"Yoganandar Chandrasekran, C. R. Ramachandiran, Kuruvikulam Chandrasekaran Arun\",\"doi\":\"10.1109/icdcece53908.2022.9793028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The banking sector are improvising their services on regular basis but the implementation of biometrics in Automated Teller Machine has never been a solution as the information is lacking and the full potential of this mechanism has not been explored. Researchers highlighted about the biometric technology an in-depth study is done to identify the available types of biometric technology which lead and suits the idea of future banking. The major finding by reviewers leads to the high potential of biometric as security aspect in achieving an ideal future banking solution through a comparison of biometrics, where fingerprint biometrics has an average of above 50 percent on compatibility and the flexibility of the implementation and benefits compared to face image, iris recognition, voice recognition and vein pattern. Past reviews highlighted that another factor that determine that the facial and iris recognition can be a possibility or a substitute for fingerprint recognition is the complexity where attempts to steal this type of security solution is almost to impossible. Biometric technology is proven that it is a technology which able to enlighten any banks towards a desired future banking ideal. This paper will identify the adoption of biometric technology in Automated Teller Machine and its gaps in achieve the ideal future banking.\",\"PeriodicalId\":417643,\"journal\":{\"name\":\"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icdcece53908.2022.9793028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icdcece53908.2022.9793028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adoption of Future Banking Using Biometric Technology in Automated Teller Machine (ATM)
The banking sector are improvising their services on regular basis but the implementation of biometrics in Automated Teller Machine has never been a solution as the information is lacking and the full potential of this mechanism has not been explored. Researchers highlighted about the biometric technology an in-depth study is done to identify the available types of biometric technology which lead and suits the idea of future banking. The major finding by reviewers leads to the high potential of biometric as security aspect in achieving an ideal future banking solution through a comparison of biometrics, where fingerprint biometrics has an average of above 50 percent on compatibility and the flexibility of the implementation and benefits compared to face image, iris recognition, voice recognition and vein pattern. Past reviews highlighted that another factor that determine that the facial and iris recognition can be a possibility or a substitute for fingerprint recognition is the complexity where attempts to steal this type of security solution is almost to impossible. Biometric technology is proven that it is a technology which able to enlighten any banks towards a desired future banking ideal. This paper will identify the adoption of biometric technology in Automated Teller Machine and its gaps in achieve the ideal future banking.