With the rapid development of the Internet and the popularization of intelligent applications, the requirements for privacy protection and security of data are getting higher and higher. In the field of network security, fingerprint identification algorithm is widely used to identify and verify the user's identity to protect the security of sensitive information and resources. In this article, we will introduce fingerprint identification algorithm using different techniques and analyze their respective advantages.
Capacitive fingerprint identification technology is categorized into scratch-type and press-type according to the way of acquisition. Scratch type is similar to the camera taking pictures, the sensor takes pictures of the fingerprints to collect information for identification. Since the speed and accuracy of scratch fingerprint recognition is low, it has been replaced by the more advanced and easy-to-use press fingerprint recognition technology. As an optimized solution of the former, the fingerprint can be quickly identified by pressing the finger on the sensor, which is much easier to operate.
With the evolution of market demand, cell phone screens are also undergoing a revolution from LCD to OLED. The under-screen fingerprint recognition technology based on OLED screen has emerged, bringing new opportunities for the industry. The technology mainly utilizes the principle of light reflection, the fingerprint sensor is cleverly embedded in the bottom of the screen, and the finger can be unlocked by pressing and holding the corresponding screen recognition area. Optical fingerprint recognition further enhances the security and convenience of cell phones and makes the overall design of cell phones more complete and beautiful.
Ultrasonic fingerprint recognition works on the principle that when the finger presses the screen, the sensor under the screen will emit ultrasonic waves to the area where the finger is pressed. When contacting the uneven grooves of the fingerprint, the ultrasonic waves are absorbed, penetrated, and reflected differently, generating echoes of different energies and being received by the sensor, thus building a 3D fingerprint image. The advantages of ultrasonic fingerprint recognition technology include stronger penetration, better resistance to interference from water and smudges, high recognition rate, support for live body detection, and higher security.
Each of the above three fingerprint identification algorithms has its own advantages and disadvantages. Capacitive fingerprint identification has been developed for a longer time, with mature technology and relatively low cost. However, it is easy to lead to false touch, and the experience of unlocking with wet hand is not good. Optical fingerprint recognition is more comfortable and smooth when unlocking. However, the recognition area needs to light up for a long time, increasing power consumption, especially at night, the unlocking experience is not friendly. Ultrasonic fingerprint recognition is fast, anti-interference ability is strong, and security is high. However, the current technology of ultrasonic fingerprint recognition is not mature and the cost is high.
The three fingerprint identification algorithms introduced in the article have their applicable scenarios and limitations, and users need to consider cost, durability, ease of use, and other factors to choose which type. It is believed that in the future development, with the continuous progress of the technology and the continuous expansion of the application scene, the fingerprint identification algorithm will be updated and iterative, and there will be a better and more convenient way of identification.
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