With the wide application of Internet of things, biometric technology has brought an opportunity to show its power. It is easy to understand that in an era of Internet of things, the importance of data security is self-evident. The market needs a more reliable way to interact with machines, and biometric technology can undertake this important task. What are the main biometric technologies?

Biometric technology refers to the use of human physiological characteristics (such as fingerprints, face and iris) or behavioral characteristics (such as voice and handwriting) for personal identification. Compared with traditional identification methods, biometric technology has the advantages of security, confidentiality and convenience.

From the perspective of recognition methods, biometrics can be divided into fingerprint recognition, face recognition, speech recognition, iris recognition and vein recognition. Among them, fingerprint recognition is also the most widely used biometric technology in the market, and face recognition is emerging. These two recognition techniques are well known.

A fingerprint is an uneven texture on the skin at the front of a person’s finger. The details of each person’s fingerprint (start point, end point, connection point and bifurcation point) will not be exactly the same. Therefore, fingerprint can be used for identification.

Due to the low technical threshold, fingerprint identification has been applied in many scenes, such as attendance, mobile phone unlocking, security unlocking, access control and so on.

However, the technology still has some inconveniences. For example, it requires fingers to be highly clean and dry, and dirt, moisture, oil and other factors can interfere with machine recognition. In the process of fingerprint identification verification, different fingerprint angle and strength will affect the identification results.

In addition, every time the fingerprint is used, the user’s fingerprint traces will be left on the fingerprint collector, and the user’s fingerprint may be copied, thus greatly reducing the security.

Therefore, without direct contact with the machine, face recognition technology has been applied. The working principle of face recognition has three steps. The first step is to create a facial file of the face. The staff is responsible for collecting the relevant user’s face file or forming the user’s photo into a face file and storing it in the face file.

Secondly, the camera is used to capture the current face. Finally, the captured portrait is compared with the one in the face file. This process uses “facial pattern coding” method to accurately identify one person among millions of people. Compared with fingerprint recognition, face recognition has the advantages of non-contact, non mandatory and concurrency (that is, one scene can be used to classify and recognize multiple faces).

In addition, iris recognition technology needs living iris information. After the eyeball peels off the human body, the iris will lose its activity with the pupil enlargement, and will be rejected by the machine. Therefore, the security of iris recognition is higher.

Editor in charge: yyx

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