G. Umashankar, G. Krishnan, T. Sudhakar, G. Mohandass, T. Devaraju, V. Devika, S. Shaina Banu
{"title":"Eye Blink Based Biometric Authentication System","authors":"G. Umashankar, G. Krishnan, T. Sudhakar, G. Mohandass, T. Devaraju, V. Devika, S. Shaina Banu","doi":"10.1109/ICBSII58188.2023.10181053","DOIUrl":null,"url":null,"abstract":"Devices are locked and unlocked using biometric security based on eye blinks rather than PINs. On the other hand, using devices in uncontrolled situations makes you extremely vulnerable to spoofing by replay assaults. Stationary facial expression authentication is an instance of a biometric; hackers use the facial images of fictitious individuals to activate devices, leading to unprotected activities and the unintentional disclosure of personal data. In place of static face authentication, we addressed a biometric security system that tracks a person’s eye blinking motions as well as their face. The suggested system gets a stream of images as information by instructing the user to follow an eye-blink pattern. The developed scheme then confirms the individual’s identity using the proper eye-blink pattern.","PeriodicalId":388866,"journal":{"name":"2023 International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBSII58188.2023.10181053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Devices are locked and unlocked using biometric security based on eye blinks rather than PINs. On the other hand, using devices in uncontrolled situations makes you extremely vulnerable to spoofing by replay assaults. Stationary facial expression authentication is an instance of a biometric; hackers use the facial images of fictitious individuals to activate devices, leading to unprotected activities and the unintentional disclosure of personal data. In place of static face authentication, we addressed a biometric security system that tracks a person’s eye blinking motions as well as their face. The suggested system gets a stream of images as information by instructing the user to follow an eye-blink pattern. The developed scheme then confirms the individual’s identity using the proper eye-blink pattern.