Fingerprint lock core technology fingerprint recognition technology is a kind of biometric technology; it is well known that biometric technology is a kind of solution that depends on the physical characteristics of the human body for identity verification. As a high-tech electronic information product, research on the following core technologies is the focus of development:
1. Fingerprint recognition algorithm: At present, the identification algorithm of our company's fingerprint products is completely the core algorithm of our company's own intellectual property rights, and the corresponding technical indicators have reached the world's leading position, among which: false-false rate (false recognition rate) :<0.0001%: one millionth, that is, the chance of accidental unlocking; refusal rate: <0.3%: three-thousandths, that is, the chance of refusing to unlock after storing fingerprints; rotation angle: plus or minus 180 degrees , that is, can rotate 360 ​​degrees; maximum translation: 5mm; recognition time: <0.2s, fingerprint comparison processing time.
2. Optical acquisition instrument: Among the numerous fingerprint acquisition sensors, the optical acquisition system is the most reliable, adaptable to various occasions, and is resistant to damage and has a long life. And now there are two products (bright and dark backgrounds), fingerprint lock products that are applied after rigorous testing. The acquisition equipment has the following key technical indicators: Resolution (number of pixels): refers to the number of pixels per inch (dpi). The standards of the FBI and the Ministry of Public Security of China must not be less than 500dpi for police use and some commercial equipment; if less than this value, adjacent fingerprint lines cannot be clearly distinguished on the image, resulting in the feature extraction algorithm being unable to locate feature points. Area Size: The size of a rectangular area that is effective for obtaining a fingerprint image. The larger area size can obtain larger fingerprint images, provide more fingerprint ridge lines and valley lines, so that the clear identification and resolution are easier. The size of the current optical collection instrument is: 18*22mm, and it can completely guarantee 500dpi. (actually 508dpi); grayscale: the number of bits per grayscale value in the image, that is, the A/D conversion accuracy, the FBI standard requires 8 bits, but our product is 256 grayscale, which guarantees the acquisition Out of the lines can be clearly reflected. Geometric Accuracy: Geometric distortion of the acquisition device, expressed as a relative percentage, which we professionally refer to as geometric accuracy or distortion. In most optical collection system systems, this problem will occur. For example, systems using prisms may have trapezoidal distortion, rectangular distortion, etc., but they can be corrected by optical system compensation. If the correction is not compensated, it will cause different positions on the surface of the collector. The inconsistent deformation of the fingerprint image will affect the identification of the fingerprint; if the image needs to be uploaded to the computer system, the image will be distorted. If the distorted parameters cannot be controlled when the production is caused, the fingerprint identification system cannot be locked in the network identification system. Identifying images acquired by other locks has caused networked fingerprint identification systems to fail.
In current biometric technologies, fingerprint recognition is the easiest to develop, and it is also the most mature biometric identification technology. Its application is also the most extensive. Fingerprints are very much in line with the requirements of biometric systems in terms of relativity and stability. According to the statistics of the International Biometrics Group IBG, fingerprint identification has taken the lead in the biometrics market. It accounts for 80% of the biometric market.
1. Fingerprint recognition algorithm: At present, the identification algorithm of our company's fingerprint products is completely the core algorithm of our company's own intellectual property rights, and the corresponding technical indicators have reached the world's leading position, among which: false-false rate (false recognition rate) :<0.0001%: one millionth, that is, the chance of accidental unlocking; refusal rate: <0.3%: three-thousandths, that is, the chance of refusing to unlock after storing fingerprints; rotation angle: plus or minus 180 degrees , that is, can rotate 360 ​​degrees; maximum translation: 5mm; recognition time: <0.2s, fingerprint comparison processing time.
2. Optical acquisition instrument: Among the numerous fingerprint acquisition sensors, the optical acquisition system is the most reliable, adaptable to various occasions, and is resistant to damage and has a long life. And now there are two products (bright and dark backgrounds), fingerprint lock products that are applied after rigorous testing. The acquisition equipment has the following key technical indicators: Resolution (number of pixels): refers to the number of pixels per inch (dpi). The standards of the FBI and the Ministry of Public Security of China must not be less than 500dpi for police use and some commercial equipment; if less than this value, adjacent fingerprint lines cannot be clearly distinguished on the image, resulting in the feature extraction algorithm being unable to locate feature points. Area Size: The size of a rectangular area that is effective for obtaining a fingerprint image. The larger area size can obtain larger fingerprint images, provide more fingerprint ridge lines and valley lines, so that the clear identification and resolution are easier. The size of the current optical collection instrument is: 18*22mm, and it can completely guarantee 500dpi. (actually 508dpi); grayscale: the number of bits per grayscale value in the image, that is, the A/D conversion accuracy, the FBI standard requires 8 bits, but our product is 256 grayscale, which guarantees the acquisition Out of the lines can be clearly reflected. Geometric Accuracy: Geometric distortion of the acquisition device, expressed as a relative percentage, which we professionally refer to as geometric accuracy or distortion. In most optical collection system systems, this problem will occur. For example, systems using prisms may have trapezoidal distortion, rectangular distortion, etc., but they can be corrected by optical system compensation. If the correction is not compensated, it will cause different positions on the surface of the collector. The inconsistent deformation of the fingerprint image will affect the identification of the fingerprint; if the image needs to be uploaded to the computer system, the image will be distorted. If the distorted parameters cannot be controlled when the production is caused, the fingerprint identification system cannot be locked in the network identification system. Identifying images acquired by other locks has caused networked fingerprint identification systems to fail.
In current biometric technologies, fingerprint recognition is the easiest to develop, and it is also the most mature biometric identification technology. Its application is also the most extensive. Fingerprints are very much in line with the requirements of biometric systems in terms of relativity and stability. According to the statistics of the International Biometrics Group IBG, fingerprint identification has taken the lead in the biometrics market. It accounts for 80% of the biometric market.
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