Biometric technology is an identification technology that relies on the physical characteristics of the human body for identity verification. It is widely used in access control, attendance, finance, public safety and terminal electronic equipment because of its characteristics of no loss, no forgetting, uniqueness, immutability, anti-counterfeiting performance and ease of use.
1, fingerprint identification
At present, the most widely used identification method is mainly to analyze the global and local features of the fingerprint, such as ridges, valleys, end points, bifurcation points or divergence points, and then confirm the identity of a person by comparison.
At the same time, capacitive technology is currently the most commonly used fingerprint acquisition technology. The chip passes the test to obtain complete fingerprint information by pressing the ridges and valleys of the fingers on the acquisition head between the finger skin and the chip. Fingerprint recognition for all mobile phones is capacitive fingerprint recognition.
2, eye pattern recognition
The identity is confirmed by identifying the venous blood vessel texture of the white area of ​​the eye. This is because there are many small veins in the white part of the human eye. The layout texture of the blood vessels is only stable and cannot be copied. It is a good biometric basis.
Because the eye pattern can not be copied, all its anti-counterfeiting is higher than fingerprint recognition, but it is affected by environmental light and other factors, so its anti-interference is not as good as fingerprint.
3. Iris recognition
Each iris contains a unique structure based on features such as crowns, crystals, filaments, spots, pits, wrinkles and stripes. Iris recognition technology uses the characteristics of iris lifetime invariance and difference to identify identity.
In theory, the lifetime of the iris is unchanged, and the false recognition rate of iris recognition is 1/1500000, which is higher than 1/50000 of fingerprint recognition, which is more suitable as a “passwordâ€. But fingerprint recognition is more convenient than iris recognition, because the closest part to the phone is the hand, not the eyes.
4, retina recognition
In fact, the most suitable password should be the retina. The retina is an extremely fixed biological feature that does not wear, is not aging, is not affected by disease, is invisible, and is not forged. But the implementation of retinal recognition is destined to be unacceptable to consumers. Because retinal recognition requires laser light to illuminate the back of the eye to obtain unique features of the retina, laser exposure may affect the health of the user.
5, voiceprint recognition
Voiceprint recognition is a behavior recognition technology that matches the registered sound template by testing and collecting waveforms and changes of sound.
This is a non-contact recognition technology that is very natural. However, the range of sound changes is very large, and changes in volume, speed, and sound quality all affect the results of acquisition and comparison. At the same time, it is easy to forge sounds by recording or synthesizing.
6, facial recognition
Briefly, facial recognition is quantified by a series of parameters that are quantified by the distance, angle, and shape of the facial features and facial organs.
Face recognition involves many organs and large areas, so its recognition is very complicated, and it is also subject to many factors, such as human expression and posture. Of course, the accuracy of facial recognition can also be high, but it is more expensive. The facial recognition solution in mobile phones should be a low-cost simple solution.
7, signature note recognition
Using "signature" as a password, it is identified by measuring the image itself, the action of the signature, and the speed, order, and pressure between each character and character.
However, this method of identification is too demanding, because the signature will change as the experience grows and the mood changes. It is difficult for one person to check out two identical signatures. Therefore, signature recognition is often simplified to increase the success rate. The Biowallet Signature software is like this, it only identifies the image itself.
8, hand vessel identification
Unlike traditional biometrics, hand vessel identification is matched to the original by identifying the distribution of blood vessels in the subcutaneous location.
This is also a stable, unforgeable way of identification. It is only easier to identify the blood vessels in the back of the hand than in the palm blood vessels. If the technology is applied to a mobile phone, the hand-held hand-held machine is unlocked with the back of the hand, and the picture is too beautiful. You can only hope that the palm recognition technology goes a step further.
In short,
Biometric technology is developing rapidly, and more and more recognition technologies will be realized and mature in the future. But for now, fingerprint recognition is the safest, most stable, and most convenient solution on mobile phones.
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