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With the advancement of technology, biometrics enters a diversified era.|HFSecurity

  • Author:HFSecurity
  • Release on :2019-11-07

With the advancement of technology, biometrics has entered a diversified era. In this context, are new technologies that are becoming hot applications such as iris recognition, vein recognition, face recognition, speech recognition, etc. really much stronger than fingerprint recognition? Is fingerprint recognition really weak?

First, fingerprint scanner identification still occupies the largest market share

Fingerprint recognition technology is the earliest biometric identification technology developed in the field of biometrics in China. It began research in the early 1980s, basically synchronized with foreign countries, and mastered the core technology. The industrial development is relatively mature. China's research on biometric authentication technologies such as vein recognition, face recognition, and iris recognition was carried out after 1996. In 1996, Tan Tieniu, the deputy secretary-general of the Chinese Academy of Sciences and director of the State Key Laboratory of Pattern Recognition, entered the Academy of Science and Technology's "Hundred Talents Program" and resigned from the University of Reading's tenure in China. He opened up international recognition based on human biometrics. New research directions in the frontier field have begun research on the field of biometrics such as veins, faces and irises in China.

"According to the statistical results of the International Biometric Group (IBG) in 2009, the market has a variety of applications for different physiological characteristics and behavioral characteristics. Among them, the highest occupancy rate is fingerprint recognition." Biometric technology in recent years The development has not shaken the status of fingerprint recognition occupying the largest market share.

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Second, the advantages and disadvantages of fingerprint recognition

1. Each person's fingerprint is unique, and there is no identical finger fingerprint between the two. British scholar Henry scientifically proposed that people's fingerprints are different. According to Henry's theory, the fingerprints of ordinary people are formed and remain unchanged for 9 months after birth; each fingerprint generally has 70-150 basic feature points. From the perspective of probability, as long as there are 12-13 feature points in the two fingerprints, the same fingerprint can be identified. According to the current population, two identical fingerprints can appear in the above 120 years.

2, each person's fingerprint is quite fixed, it is difficult to change. For example, fingerprints do not change as a person's age grows or his health changes. The human voice has changed a lot.

3. The fingerprint is easy to obtain samples, easy to develop identification system, and has strong practicability. At present, there is a standard fingerprint sample library, which facilitates the software development of the identification system; in addition, the hardware part (ie, the fingerprint collection instrument) that performs the fingerprint sampling function in the identification system is also relatively easy to implement.

4, a person's ten finger fingerprints are different, in this way, you can easily use multiple fingerprints to form multiple passwords, improve system security. At the same time, it does not increase the design burden of the system.

5. The template used in fingerprint recognition is not the original fingerprint, but the key features extracted from the fingerprint, so that the system has a small amount of storage for the template library. In addition, after extracting the key features of the input fingerprint, the burden of network transmission can be greatly reduced, and the remote confirmation can be realized, and the network function of the computer can be supported. It can be seen from the above analysis that the use of automatic fingerprint recognition not only has many unique advantages in information security, but also has high practicality and feasibility.

6. The fingerprint identification technology is relatively mature, and the production cost of the product is low and easy to popularize.

6. The fingerprint identification technology is relatively mature, and the production cost of the product is low and easy to popularize.



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The shortcomings of fingerprint recognition are reflected in several aspects:

1. It has high requirements on the environment, and is sensitive to the humidity and cleanliness of the fingers. Dirty, oil and water will not be recognized or affect the results of the identification;

2. Some people or certain groups have fewer fingerprints and even no fingerprints, so a few people's fingerprints are difficult to image;

3. For the problem of low-quality fingerprints such as peeling and scars, it is difficult to identify and have a low recognition rate. It is difficult for some special people such as manual laborers with more old hands to identify more.

4. Each time the fingerprint is used, the fingerprint of the user is left on the fingerprint collection head, and these fingerprint traces have the possibility of being used to copy the fingerprint;

5, the operation specification requirements for fingerprint recognition are higher

Third, we must look at the advantages and disadvantages of various identification methods in two parts.

Fingerprint recognition has many advantages, and it is relatively easy to be widely used due to its relatively low technical cost. But other identification methods are needed to make up for their own defects. For example,biometric fingerprint scanner identification has higher requirements for its operation specifications, and it is difficult to identify for finger suede and calluses. The finger vein recognition uses the vein distribution image in the finger for identification. Therefore, it is more convenient to identify, and it can make up for this deficiency.

Other biometric methods are also different, and no one can unify the world. Try the following analysis.

1. Iris recognition technology

The iris is a fabric-like ring in the pupil of the eye, each of which contains a unique structure based on features such as crowns, crystals, filaments, spots, structures, pits, rays, wrinkles and stripes. It is claimed that no two irises are the same. The iris scanning security system will look for your eyes in a fully automatic camera and focus on the iris as it is found. It is not acceptable to deceive the system by blinking your eyes. The aforementioned message advertises iris technology.

The advantages of iris technology: user-friendly; may be the most reliable biometric technology, although it has not been tested; only the user is in front of the device without physical contact

Disadvantages of iris technology: One of the most important drawbacks is that it has not been tested. The current iris recognition system has only been tested on a small scale using statistical principles, but has not been tested in the real world. Minimize the size of the image acquisition device; require an expensive camera for the need of focusing, and the minimum price of one such camera is more than 1000 US dollars; the lens may make the image distorted, and the reliability is greatly reduced; the black eyes are extremely difficult to read Take; need a better light source.

2, retina recognition technology

The retina is also a feature used for biometric identification. Some people think that the retina is a more unique biological feature than the iris. Retinal recognition technology requires the laser to illuminate the back of the eye to obtain the uniqueness of the retinal features.

Advantages of retinal technology: The retina is an extremely fixed biological feature because it is “hidden” and therefore not worn, aged or affected by disease; the user does not need to make direct contact with the device; this is the most a system that is difficult to deceive, because the retina is invisible and therefore not forged

Disadvantages of retinal recognition: Retinal technology has not been tested. It is obvious that retinal technology may cause health damage to users, which requires further research. For consumers, retinal technology is not attractive; it is difficult to further reduce it. cost.

3, face (face) recognition

Facial recognition technology recognizes facial features and their relationships. Recognition techniques are very complex based on these unique features. This requires artificial intelligence and machine knowledge learning systems, two techniques for capturing facial images. Standard video and thermal imaging technology. Standard video technology captures an image of the face or a series of images through a standard camera. After the face is captured, some core points are recorded. For example, the position of the eyes, nose and mouth and the relative position between them are recorded, then Forming a template; thermal imaging technology produces facial images by analyzing hot lines generated by the blood of facial capillaries. Unlike video cameras, thermal imaging technology does not need to be in good light conditions, so it can be used even in dark conditions. . An algorithm and a neural network system plus a conversion mechanism can turn a fingerprint image into a digital signal, ultimately producing a matching or mismatched signal.



Advantages of face recognition: Face recognition is non-contact, users do not need direct contact with the device; although the camera video can be used on the desktop, only the more advanced camera can capture the face image at high speed.

Disadvantages of facial recognition: The position of the user's face and the surrounding light environment may affect the accuracy of the system; most people who study biometrics recognize that face recognition is the most inaccurate and the most easily deceived; facial recognition technology Improvements depend on the extraction of features and comparison techniques, and the equipment for acquiring images is much more expensive than its technology; for human hair such as hair, accessories, aging, and other changes that may need to be compensated by artificial intelligence Machine learning functions must constantly compare previously acquired images with what is currently available to improve core data and make up for small differences; it is difficult to further reduce its cost, we must sell high-quality equipment at an expensive cost.

to sum up:

Although the market share of fingerprint identification has decreased, it still occupies the largest market share. At present, various identification technologies have their own advantages and disadvantages. Of course, fingerprint recognition technology has not become weak due to the emergence and application of new recognition technologies. The diverse biometric circles can complement each other and be better applied by people to serve the broader identification application market.

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