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As a technology researcher, I spent sufficient time in biometrics research since 2003. I developed a technique for 3D human face recognition in 2006. I applied the technique for multimodal 3D facial plus fingerprint recognition.
Biometrics is purely a probabilistic recognition technique that how much matching is possible. The tolerance of recognition is sometimes 96 to 97 percent but is never a hundred percent.
Some biometrics modality, such as face recognition is heavily dependent on skin color and illumination. 3D face ID matching can be easily spoofed using 3D face masks. Fingerprint and iris images are regularly spoofed with high-resolution images.
As cybersecurity technology is progressing in the world, biometrics spoofing technology has also been advancing at an alarmingly fast rate.
It doesn't take much money and complex technology to create a spoof for a fingerprint. One can make fingerprint spoofs using cheap and easily available polymer sheets used for overhead slide projectors! 3D thumbprints may also be made on rubber thumbs
It happened between 2018 and 2019. The professors found only less than the half population of the students were physically present inside the classroom, but the attendance data recorded was surprisingly above 90 percent presence!
Biometrics data are easily available in public places. Capturing 2D and 3D face scans is possible in public under visible as well as infrared illumination.
The fingerprint impression may be captured from thumbprints on glasses of water/drink in parties/restaurants.
High-resolution face images may be utilized to extract decent-resolution iris patterns. Voice and speech may be easily recorded from telephonic conversations, and expert voice mimicry artists can do the spoofing job for voice recognition.
Biometrics is purely probabilistic, and not deterministic, such as text passwords.
Text passwords are deterministic, if you enter a wrong passcode, you will NEVER be authenticated, and you will be REJECTED. In biometrics, one person's biometrics may incorrectly authenticate another person's login and vice versa.
Moreover, biometrics is easily spoofable, and hence stealable/hackable.
Biometrics data once hacked/stolen/compromised, are lost in the hands of criminals for good. One cannot reset biometrics like text passwords.
There are so many other flaws, such as a high False Match Rate, and "credential stuffing," i.e., reusing the same passwords and usernames.
As a result, it would be correct to infer that biometrics recognition technology is an unreliable security method.
Biometrics is a self-problem creator, even without the presence of a hacker!
The main problem is that biometrics recognition technology is probabilistic, and NOT deterministic. So, biometrics can never yield 100 percent recognition and have a False Match Rate.
That means biometrics can authenticate an incorrect person, and reject an authentic person! Biometrics is a self-problem creator, and as a result, is unreliable for authenticating the correct human being, even without the presence of a hacker!
And, not to forget, biometrics has a lot of data privacy issues. However, it is not a security issue. But, privacy is a fundamental right.
Accessing one's biometrics data is equivalent to invading the personal and private data of a person. All humans may not agree to provide their biometrics data to the governing and servicing companies.
It overrules fundamental freedom and human rights.
Lead Image: I have created a GIF image using my title texts and a photo by Gerd Altmann on Pixabay.
All other images are either drawn/created by myself or credited to the respective artists/sources.
Disclaimer: All texts are mine and original. Any similarity and resemblance to any other content are purely accidental. The article is not advice for life, career, business, or investment. Do your research before adopting any options.