What do you think is the best way for fingerprint authentication to identify and sense?

The under-display fingerprint should be optimal, but the unlocking speed could be improved.

Principle: Fingerprint recognition refers to the identification by comparing the detailed feature points of different fingerprints. Fingerprint recognition technology involves many disciplines such as image processing, pattern recognition, computer vision, mathematical morphology, wavelet analysis, etc.

Since each person's fingerprint is different, that is, between the ten fingers of the same person, there is also a clear difference between the fingerprints, so fingerprints can be used for identification. Because the orientation of each stamp is not exactly the same, different focus points will bring different degrees of deformation, and there are a large number of blurred fingerprints, how to correctly extract features and achieve correct matching, is the key to fingerprint recognition technology.

Advantages of fingerprint recognition: 1. Fingerprints are unique features of the human body, and their complexity is sufficient to provide sufficient features for identification;

3. The speed of scanning fingerprints is very fast, and it is very convenient to use;

4. When reading fingerprints, users must touch their fingers with the fingerprint collection head, and directly contact the fingerprint collection head;

5. Contact is the most reliable way to read human biocharacteristics;

6. The fingerprint collection head can be more miniaturized, and it will be more cheap;

Disadvantages of fingerprint recognition: 1. The fingerprint fingerprint characteristics of some people or some groups are few, and it is difficult to image;

2. In the past, because of the use of fingerprints in criminal records, some people were afraid to "record fingerprints".

3. In fact, fingerprint identification technology can not store any data containing fingerprint images, but only store the encrypted fingerprint feature data obtained from fingerprints;

4. Every time the fingerprint is used, the user's fingerprint imprint will be left on the fingerprint collection head, and these fingerprint traces have the possibility of being used to copy the fingerprint.

5. Fingerprint is an important personal information of users, and users are worried about information leakage in some applications.

Fingerprint identification is one of biometric technologies.

Self-seeding is an early development and application.

As the longest-running biometric technology, it has many advantages:

1. Fingerprints are unique features of the human body, and they are complex enough to provide sufficient features for identification;

2. Everyone's fingerprint is quite fixed and difficult to change;

3. Easy to obtain fingerprint samples, easy to develop identification systems, and strong practicability;

4. A person's ten fingerprints are not the same, which can improve the security of the system;

5. The template (sample) for identifying fingerprints is not a fingerprint, but the key features extracted from the fingerprint. In this way, the storage amount of the fingerprint template is much smaller than that of the fingerprint map.

6. When reading fingerprints, users must touch their fingers with the fingerprint collection head, and direct contact with the fingerprint collection head is the most reliable way to read human biometrics. This is one of the main reasons why fingerprint recognition technology can occupy most of the market;

7. The fingerprint collection head can be more miniaturized, and it will be more cheap.

It can be seen that fingerprint recognition technology is currently the most convenient, reliable, non-intrusive and inexpensive biometric technology solution, and has great potential in large-scale application.

Fingerprints, due to their lifelong immutability, uniqueness and convenience, have become almost synonymous with biometrics. Fingerprints refer to the uneven lines on the front of the end of a person's finger. The lines are arranged regularly to form different patterns.

The beginning, end, junction and bifurcation points of the grain line are called the ...... of the fingerprint

Pattern unlocking, password unlocking, face unlocking, after the emergence of many personal security unlocking methods, fingerprint unlocking with a higher security factor has also appeared. So do you know how it works?

Fingerprints, due to their lifelong immutability, uniqueness and convenience, have become almost synonymous with biometrics. Fingerprints refer to the uneven lines on the front of the end of a person's finger. The lines are arranged regularly to form different patterns.

The beginning, end, junction and bifurcation points of the grain line are called the detailed feature points of the fingerprint".

Through the above content, we know that the points formed by interruptions, forks or transitions in the fingerprint are the detailed feature points, and these detailed feature points can be said to provide confirmation information of the uniqueness of the fingerprint. Typical of these are endpoints and bifurcations and divergence points, outliers, ring points, short stripes, and so on. By recording the direction of your fingerprint pattern, the position of the feature point (the position is determined by the x-y axis), etc., you can create a unique fingerprint lock in the world, and the key is your fingerprint.

Because the orientation of each fingerprint scan is not exactly the same, and different focus points will also bring different degrees of deformation, so there will be a large number of blurred fingerprints, so the key to fingerprint recognition technology is to correctly extract features and achieve correct matching. Fingerprint recognition involves many disciplines such as image processing, pattern recognition, computer vision, etc.

To identify fingerprints, the first thing is to create a fingerprint database first, so that your original fingerprint data becomes the initial identification code.

Capacitive fingerprint capture view, through the contact between ** and the screen, identify the texture of the fingerprint to record and verify the fingerprint.

Optical, which records and verifies fingerprints through light-reflecting imaging.

The pressure-sensitive type is an imaging that senses the unevenness of the fingerprint by sensing the pressure-sensitive material of the semiconductor.

After the fingerprint is captured, the fingerprint will be refined to highlight its fingerprint feature points for easy comparison and verification.

Fingerprint verification is a new type of verification method with a better security factor on the mobile phone, because the fingerprint corresponding to the unlocking is only owned by you, and the security of the mobile phone and personal privacy can be effectively protected. So now many mobile phone manufacturers are also rushing to add fingerprint recognition to their mobile phones. Dear, is your phone safe enough?

Fingerprint readers read fingerprints in a number of different ways, but the basic principle of capacitive sensing technology is that it conducts a fingerprint image based on changes in resistance on the surface of a living finger — note the word "live." **The cells of the epidermal layer, including the epidermal layer of the fingers, are non-living. Peeling off the epidermal layer of non-living cells reveals the first layer of living cells, which have a certain amount of resistance.

They also form a specific shape on the surface layer – the common fingerprint ridge and groove. The combination of the specific electrical qualities in the cell and the arrangement of the cells allows the resistance of the surface to be measured and the variation is unique. This is how a capacitive reader works – it first reads the changes in the resistance of the living epidermis of the finger and then conducts a map of the finger showing those changes.

The diagram looks just like a standard fingerprint image displayed by a police officer. The resistance change plot is called the fingerprint image. Once a fingerprint image is generated, it is saved, or compared to another fingerprint image to determine if they are identical.

Capacitive sensor technology dominates the fingerprint world; All other fingerprint recognition technologies are technology followers. The technology is also very mature, stable and reliable, and is one of the most inexpensive fingerprint sensing technologies on the market today. 1. Fingerprints are unique features of the human body, and their complexity is sufficient to provide sufficient features for identification; 2. If you want to increase reliability, you only need to register more fingerprints and identify more fingers, up to ten, and each fingerprint is unique; 3. The speed of scanning fingerprints is very fast, and it is very convenient to use; 4. When reading fingerprints, users must touch their fingers with the fingerprint collection head, and directly contact the fingerprint collection head; 5. Contact is the most reliable way to read human biocharacteristics; 6. The fingerprint collection head can be more miniaturized, and it will be more cheap; [1] Technical disadvantages: 1. Some people or certain groups have few fingerprint features and are difficult to image; 2. In the past, because of the use of fingerprints in criminal records, some people were afraid to "record fingerprints".

3. In fact, the current fingerprint identification technology can not store any data containing fingerprint images, but only store the encrypted fingerprint feature data obtained from the fingerprint; 4. Every time the fingerprint is used, the user's fingerprint imprint will be left on the fingerprint collection head, and these fingerprint traces have the possibility of being used to copy the fingerprint.

Fingerprint recognition technology.

BAI surgery mainly involves four functions:

Read fingerprint images, extract features, save DAO data, and compare. The image of the human fingerprint is read through the fingerprint reading device, and then the original image is preliminarily processed to make it clearer, and then the characteristic data of the fingerprint is established through the fingerprint recognition software. The software finds data points called "minutiae" from the fingerprint, i.e., the coordinate locations at the forks, terminations, or circles of the fingerprint lines, which have more than seven unique characteristics at the same time.

Typically there are an average of 70 nodes on a finger, so this method yields about 490 pieces of data. This data, often referred to as templates. Through the computer fuzzy comparison method, the templates of the two fingerprints were compared, and their similarity was calculated, and finally the matching results of the two fingerprints were obtained [5-6].

Acquisition devices (i.e., imaging devices) are divided into several categories: optical, semiconductor sensors, and others.

How to use fingerprint recognition:

1. Obtain the image of the fingerprint that needs to be recognized through the fingerprint collection device.

2. Pre-processing of the collected fingerprint images.

3. Obtain the ridge data of the fingerprint from the preprocessed image.

4. From the ridge data of the fingerprint, extract the feature points required for fingerprint recognition.

5. Match the extracted fingerprint features with the fingerprint features stored in the database one by one to determine whether they are the same fingerprints.

6. After the fingerprint matching process is completed, the processing result of fingerprint recognition is output.