Biometric verification and authentication are part of our lives. They’re currently ubiquitous. You can find them on mobile devices, airports, banks, government offices, and more. Most biometric verification and authentication techniques offer the much-needed speed, matching accuracy, safety and convenience.
Many organizations have systems that use only one modality. Despite the highest levels of accuracy and security these systems offer, there is still a huge risk of fraud. Face images or fingerprints can be easily hacked, spoofed, replicated, or misused.
So, how do organizations protect identities and verifications against deepfakes? The lasting solution is a high-quality multi-biometric system. Let’s discover more about the different types of modalities available. You’ll be able to know the best combination.
Iris Recognition
Scanners read the unique characteristics of an Iris. These characteristics are then converted into an encrypted code. Iris recognition is a very popular technique to protect buildings. To achieve the highest levels of security, iris scanning is done using infrared light. Iris characteristics are challenging to manipulate, making the technique one of the most secure in the market.
However, there is one common problem. A few individuals find this innovation annoying. That beam of light might be uncomfortable for individuals with eye conditions. Also, security using an iris scanner may come at the speed expense.
Fingerprint Recognition
Fingerprint recognition includes capturing and matching a finger surface. The line pattern has numerous special features that make this technique unique and accurate. A line pattern on a finger includes splices, islands, and endpoints. They’re captured and stored as an image.
The main disadvantage is that an image with external features can be easily replicated. Unlike iris recognition, fingerprint spoofing is possible. Also, a finger used for recognition doesn’t need to be attached to the body.
There’re also line patterns that are similar. In practice, this results in a high false acceptance rate. As an already popular identification technique, fingerprint-based systems are significantly accepted. Also, fingerprint systems are relatively inexpensive.
Facial Recognition
Facial recognition takes into consideration parts of the face that match in terms of location, position, and shape. More advanced systems sometimes pay attention to surface features. Facial recognition is a prime candidate for remote identification. Excluding faces or negative identification is the technique’s strength. It makes it easier to scan a group of people for suspicious individuals.
To enable accurate recognition, users must look straight at the camera. The level of security it offers isn’t comparable to that of iris identification.Any system that combines two of these identification techniques will provide the most accurate verification and authentication. Want to discover more about multi-biometric systems? Visit top-rated providers like MegaMatcher.
Also Read: Behavioral Biometric Verification: Strengthening Protection in Different Sectors
