iPhone is also affected. Why can’t fingerprint recognition be performed on sweaty hands?

iPhone is also affected. Why can’t fingerprint recognition be performed on sweaty hands?

Fingerprints have become almost synonymous with biometric identification because of their lifelong invariance, uniqueness and convenience. Fingerprints refer to the uneven lines on the front of the skin at the end of a person's finger. The lines are arranged regularly to form different patterns. The starting point, end point, junction point and bifurcation point of the lines are called "fingerprint detail feature points".

The points formed by the interruption, bifurcation or turning of the fingerprint are the detail feature points, and these detail feature points provide confirmation information of the uniqueness of the fingerprint . The fingerprint recognition sensor records the direction of the fingerprint pattern and digitizes it to form a unique key, which is used to unlock your mobile phone. In principle, fingerprint recognition does not seem to be profound, and with the advancement of technology, the fingerprint recognition sensitivity of mobile phones is becoming higher and higher. However, when people are immersed in the safe and convenient experience brought by fingerprint recognition, many people have discovered a defect in the current fingerprint recognition, that is, after being exposed to water, many mobile phone fingerprint sensors that are very sensitive in normal use become less sensitive. Why is this? Today we will analyze the reasons for you. Why is fingerprint recognition not sensitive after being exposed to water? Speaking of the reasons, we must first determine the way of fingerprinting mobile phones. Currently, there are three main types of fingerprint collection: live optical, capacitive and pressure-sensitive . The most commonly used type in mobile phones is capacitive . When it comes to capacitance, everyone should be able to think of capacitive screens. They have the same principle and work by using the current induction of the human body. The fingerprint recognition sensor is plated with narrow electrodes around it. When the user's finger touches it, due to the human body's electric field, a coupling capacitor will be formed between the user's fingerprint pattern and the sensor surface. For high-frequency current, the capacitor is a direct conductor, so the finger will absorb a very small current from the contact point. This current flows out from the surrounding electrodes, and the current flowing through the surrounding electrodes is proportional to the distance from the fingerprint to the surrounding area. The controller obtains the touch pattern by accurately calculating the current ratio. It should be like this. The editor does not understand the detailed calculations involved. Simply put, wherever the user's fingerprint goes, there will be "leakage" and the sensor will react. When the sensor is wet with water or there is sweat on the hands, because of the conductive properties of water, when water contacts the sensor, the hand touches it again, the current will be affected, so the above calculation is inaccurate. How to solve the problem of insensitive fingerprint recognition after getting wet As for the method, I believe many friends have their own solutions. Wiping the fingerprint recognition sensor with paper and drying the hands should be a better way. Of course, because the fingerprint recognition sensor may also maintain humidity around it, sometimes even after we wipe it, it will still be inaccurately recognized. Therefore, the best solution is to temporarily unlock it with a password or pattern, and then recognize it after the sensor is completely dry. It was previously rumored that recording fingerprints with wet hands can ignore the negative effects of sweaty hands on the sensor, but the editor did not try it. I feel that this is a way to disrupt the sensor . Interested friends can try it. At the same time, everyone can also share their own processing methods and we will discuss them together.

As a winner of Toutiao's Qingyun Plan and Baijiahao's Bai+ Plan, the 2019 Baidu Digital Author of the Year, the Baijiahao's Most Popular Author in the Technology Field, the 2019 Sogou Technology and Culture Author, and the 2021 Baijiahao Quarterly Influential Creator, he has won many awards, including the 2013 Sohu Best Industry Media Person, the 2015 China New Media Entrepreneurship Competition Beijing Third Place, the 2015 Guangmang Experience Award, the 2015 China New Media Entrepreneurship Competition Finals Third Place, and the 2018 Baidu Dynamic Annual Powerful Celebrity.

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