[Fingerprint punching machine crack] How to cheat the fingerprint punching machine

With the improvement of the high-precision fingerprint recognition rate and safety factor of the fingerprint attendance machine, it is impossible to crack and tamper with the attendance record, so how can the fingerprint punching machine cheat? If you want to escape fingerprint attendance, you can only make fingerprint film. In this article, I provide this method for everyone, but I do not recommend that you evade fingerprint attendance. In addition, it should be noted that it is difficult to deceive the attendance machine by self-made fingerprint punching.

Features of Fingerprints

We define two types of fingerprint features for fingerprint verification: global features and local features. The overall features refer to those features that can be directly observed by the human eye, including: basic pattern pattern loop (loop), arch (arch), and spiral (whorl). Other fingerprint patterns are based on these three basic patterns. It is not enough to distinguish fingerprints by pattern type alone. This is only a rough classification, but classification makes it more convenient to search fingerprints in large databases.

Pattern area

Pattern area refers to the area on the fingerprint that includes general features, that is, it can be identified from the pattern area which type of fingerprint it belongs to. Some fingerprint recognition algorithms only use the data in the pattern area. Aetex’s fingerprinting algorithm uses the complete fingerprint obtained and not just the pattern area for analysis and identification.

Core point

The core point is located in the progressive center of the fingerprint pattern, which is used as a reference point for reading and comparing fingerprints.

Triangle point

A triangle point is located at the first bifurcation or breakpoint from the core point, or at the convergence of two stripes, isolated points, turning points, or points to these singular points. The triangular dots provide the starting point for counting and tracking of fingerprint lines.

Number of lines

It refers to the number of fingerprint lines in the pattern area. When calculating the number of lines of a fingerprint, the core point and the triangle point are generally connected first, and the number of intersections between this line and the lines of the fingerprint can be regarded as the number of lines of the fingerprint.

Style Lines

Style lines are cross grains that appear where the grain lines surrounding the pattern area begin to be parallel. The style line is usually short and interrupted, but its outer lines begin to extend continuously.

Local Features

Local features are nodes on the fingerprint. Two fingerprints often have the same overall features, but their local features, nodes, cannot be exactly the same. Discount. These breakpoints, bifurcations and turning points are called “nodes”. It is these nodes that provide confirmation of the uniqueness of the fingerprint.

Principle and Analysis of Fingerprint Time Attendance Machine

Most of the cheap fingerprint time attendance machines on the market have the same internal structure, the core of which is a small laser scanner. The laser scanner on the fingerprint attendance machine does not scan your finger, but the indentation formed when your finger is in contact with the scanning window.

Regardless of whether the attendance machine uses a blue laser or a red laser, the scanned images are transmitted to the computing circuit in black and white format. Therefore, if you want to deceive the fingerprint attendance machine, there are Two points are the most critical: one is to get a clear fingerprint image; the other is to make the image close to the scanning window during attendance.

Comparison of Fingerprint Identification and Other Biometric Identification The average accuracy of fingerprint identification is high: Kitchen Storage Kitchen Storage

In theory, there are no two identical fingerprints in the world. However, due to the limitations of algorithms and collection equipment, the error rate of fingerprint recognition is currently about one in a million. This is second only to iris recognition technology among all biometric technologies. Since iris recognition equipment is relatively rare in the market, it is not widely used. Compared with fingerprint recognition equipment, its market share is about one-twentieth. Therefore, fingerprint recognition is still the most accurate technology in actual use. Accuracy comes after fingerprint recognition is face recognition technology.

The cost of fingerprint collection equipment is lower: kitchen storage and kitchen storage

The cost of fingerprint collection equipment is neither the highest nor the lowest among all biometric collection equipment costs. It constitutes the simplest fingerprint identification device-fingerprint collector, and its cost is currently as low as less than 400 yuan. This is an acceptable and driving price for the widespread use of fingerprint recognition technology. The lowest cost collection equipment is the face collection equipment. A set of the simplest face shape acquisition equipment only needs a digital camera with more than 300,000 pixels, which is only 50 yuan in the market. The most expensive collection equipment should be the iris and retina collection equipment, whose price is about 20,000 yuan or more.

High level of user acceptance: kitchen storage kitchen storage

This is mainly reflected in the different considerations and concerns of users about the health and safety of biometric systems. Fingers are one of the most frequently used human organs in people’s daily life and work, and they have the most direct contact with objects outside the body. For iris and retina recognition, because of the sensitivity, importance, and fragility of the eye, people are psychologically more difficult to accept the stimulation of external equipment, regardless of whether such stimulation will have an impact at the time. Therefore, when people point their eyes at a device to receive light or other means of irradiation and scanning, they will feel somewhat violated. Unless it is a last resort, they are generally reluctant to accept it. Therefore, like palm and face recognition, fingerprints are a biometric method that is easily accepted by people.

Different application scenarios that can be adapted: Kitchen storage and kitchen storage

Although fingerprint recognition, like other biometric identification technologies based on physiological characteristics, can be used for channel control, relatively speaking, the application scenarios of fingerprint identification technology wider. This is determined by the small size of its equipment.

With such a small size, it can be applied to various electronic products such as mobile phones, PDAs, and fingerprint access control door locks. The palm shape recognition and iris recognition are almost incomparable with it. At the same time, because the fingerprint acquisition device can sense the different actions of the finger, such as the direction of the finger movement, the double click of the fingerprint, etc., it can be used to replace some control panels that require fingers to operate, such as the touchpad on a laptop and the direction keys on a mobile phone. etc., and even different shortcut keys can be represented by different fingers. In addition, based on the number of fingers relative to face shape, iris, palm shape, etc., a very meaningful logical combination control can be realized. For example, for very important applications, multi-finger authentication, multi-finger orderly control, etc. can be used to achieve more secure fingerprint authentication.

The degree of industrialization is different: kitchen storage kitchen storage

Among all the current biometric identification technologies, fingerprint identification technology is the most industrialized. This is not only because fingerprint identification technology has a long development history and research process, but also because of the acceptability of fingerprint identification technology, it has been continuously concerned, researched, improved and commercialized by people. Globally, fingerprint recognition accounts for nearly 50% of the entire biometrics market. There are more than thousands of fingerprint identification manufacturers producing hundreds of fingerprint identification products. Other biometric technology manufacturers are less than one-tenth of it.

How to crack fingerprint attendance

Materials: One roll of wide scotch tape, one scissors, one knife, one HB or 2B pencil, one piece of white eraser, and one piece of white paper.

1. First, use a pencil to repeatedly smear a small piece of white paper until it is completely black;

2. Wash and dry your hands, and use the finger that has recorded fingerprints on it. Apply 10 times to the blackened part of the paper and blow your fingers with your mouth;

3. This step is the most critical! Take a small piece of wide tape, and press it with the finger you just painted on the glued surface (the strength is moderate, for the purpose of clear fingerprints);

4. Paste the tape with the fingerprints just printed on the surface. There should be no air bubbles on the eraser;

5. Cut the eraser to fit the fingerprint attendance machine window (pay attention to keep fingerprints);

6. Take this fingerprint eraser to the fingerprint attendance machine Test, if unsuccessful, repeat step 3.

This method has been tried by many netizens, and the effect is not very good. In addition to the method described in this article, there are other methods to crack the fingerprint attendance machine.

The core technology of the attendance machine is the fingerprint recognition algorithm. According to the different fingerprint nodes of different people, the pre-registered fingerprint features are first extracted from the fingerprint database, and then compared with the fingerprint feature values collected on the spot to prove that the person is the person to be identified. Now the fingerprint attendance machine has optical type and crystal sensor type. The optical type is that the laser is shot on the finger, and the image of the fingerprint is reflected to the sensor board to form a picture.

The crystal sensor not only requires the image of the fingerprint, but also senses the bump, temperature, and capacitance of the finger. Faced with such a technology, the self-made fingerprint film has no temperature and no capacitance, so naturally it cannot pass the verification. In addition, various manufacturers are constantly updating and improving the anti-cheating function. Some use 3D camera technology to brush their faces, some use iris attendance, and some verify multiple items at the same time.

It seems that it is more and more difficult to cheat the attendance opportunity. It is more reliable for everyone to get up early for work.

How to crack iris recognition attendance

Iris recognition technology is based on the iris in the human eye for identity recognition, iris recognition is a more accurate technology than fingerprint recognition, the human iris structure is complex, and fingerprints change with time. Over time, it may change or even flatten with intense work, but the iris features are very stable.

The human eye consists of sclera, iris, pupil lens, retina and other parts. The iris is the annular portion located between the black pupil and the white sclera, which contains many detailed features of interlaced spots, filaments, crowns, striations, crypts, etc. And after the iris is formed during fetal development, it will remain the same throughout life. These features determine the uniqueness of iris features, and also determine the uniqueness of identification.

An iris has about 266 quantitative feature points, while the general biometric technology has only 13 to 60 feature points. The iris recognition algorithm of 266 quantified feature points is described in many iris recognition technical materials. If the algorithm and human eye characteristics allow, the algorithm can obtain 173 independent feature points with binary degrees of freedom. In biometrics, the number of this feature point is quite large. Thus, there is a great guarantee of safety.

The iris has a natural living body recognition advantage, so it cannot be cheated by photos or images.

Therefore, the iris recognition technology is difficult to be cracked, and the attendance machine that really adopts the iris technology is very safe.

If you want to crack the iris time attendance machine, you cannot cheat from the iris recognition technology level, cheating can only be done from the database, and it is possible to modify the database storage records.

Every attendance. There will be records in the database. Only by modifying the database can you cheat on attendance.

In addition, if you adjust the time of the attendance machine, change the system time and re-attend the attendance record, you can make up for the previous attendance. To adjust the time of the attendance machine, you need to open the cover of the machine to operate.

How to crack the face recognition attendance machine

It is very simple to crack the face recognition attendance machine, just use a photo of yourself, and if it has the function of living body recognition, use MP5 to record a segment of yourself blinking The video of the eyes, and then play it to the camera of the attendance machine.

Note:

1. Your photo portrait must be within the scope of the frame; when sampling, as long as the face is within the scope of the mirror, the line of sight is parallel to the center of the mirror or you can bow your head of.

2. Please keep a distance of about 30-80cm from the attendance machine, and put the face in the photo facing the mirror, with your eyes fixed on the center of the mirror, slowly move the face back and forth, and keep the sampling time. Natural demeanor.

3. When sampling, try to keep the sampling environment consistent with the attendance environment. It is recommended to take samples at the location where the attendance machine is placed.

4. Please keep your expression natural, avoid closing your eyes, squinting, and covering your eyes with hair. When taking samples and checking in, please do not wear glasses for the human figures in the photos, which can facilitate faster attendance.

5. Do not use it near windows that are exposed to sunlight.

Don’t worry about the danger to the skin when recognizing the key areas of the face, this face recognition attendance machine is very safe, and the accuracy is also very high, don’t Worry about failing to record attendance. Even if you have a few more pimples on your face, a few spots, or even make-up, the face recognition attendance machine can correctly identify whether you are “you”.

Tip: I don’t recommend that you evade attendance, it’s better to go to work on time!