Iris Recognition Used for the Implementation of a Green-Passports System Regarding the Vaccination against the SARS-CoV-2 Virus for the UE Citizens
Keywords:iris, biometric system, vaccination, green passports, UE citizens
The coronavirus pandemic started with some infections in China in December 2019, and in Europe it started very strongly after March 2020. The first countries severely affected were Italy and Spain. Due to the lack of specific treatment for COVID19 disease caused by the SARS-CoV-2 virus, much work has been done to create highly effective vaccines to limit the spread of this disease. After the vaccination started, each country issued a document to each vaccinated person regarding the accomplishment of this. Also, when crossing the state border between certain countries within the European Union and beyond, it is required to present such a document. In order to improve these checks, the appropriateness of using biometric iris recognition technology to replace that document will be explored. Thus, it is proposed that when a person is given a dose of vaccine, this is supposed to be entered into an international database together with the image of the person's iris. When it will be required the proof of vaccination, a check of the person's iris will be performed in the database, and the date and time of administration of the vaccine will be provided. The main problem eliminated in this way will be related to the suspicion of forgery of the document presented in printed format. For people who do not want to record biometric data in an international database, it remains the option to travel only after performing a RT-PCR test.
Daugman, J., (2002). How iris recognition works, Proceedings of 2002 International Conference on Image Processing, Vol. 1, ISSN 1051-8215, p. I-33 – I-36, DOI 10.1109/ICIP.2002.1037952
Wildes, R. (1997). Iris recognition: an emerging biometric technology, Proceedings of the IEEE, Vol. 85, No. 9, p. 1348-1363., ISSN 0018-9219, DOI 10.1109/5.628669
Daugman, J. (2021). Web page. Retrieved from http://www.cl.cam.ac.uk/~jgd1000/iris_recognition.html, date: 01.06.2021.
Copyright (c) 2021 EIRP Proceedings
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
- for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.