What are the classifications of biometric access control systems?

The hardware of the Recognition Time Attendance system is mainly composed of a microprocessor, a Recognition Time Attendance module, a liquid crystal display module, a keyboard, a clock/calendar chip, an electronically controlled lock and a power supply. The microprocessor, as the upper computer of the system, controls the whole system. The fingerprint identification and attendance module mainly completes the collection, comparison, storage, and deletion of fingerprint features. The liquid crystal display module is used to display information such as door opening records, real-time clock and operation prompts, and forms the man-machine interface together with the keyboard.

The fingerprint reading device (collector) uses photoelectric technology or capacitive technology to collect fingerprint information, then extracts features and compares them with the stored feature information to complete the identification process. This process is all completed in the reading device, or the reading device can only collect fingerprints, and then transmit them to background equipment (such as PC) to complete feature extraction and identification. The device for separately collecting fingerprints is easy to miniaturize, easy to use, and the system identification speed is also relatively fast. The collection of fingerprint features requires the establishment of a prescribed relationship between the human finger and the collector during operation. Therefore, the system is less friendly.
Biostatistics shows that fingerprints have high uniqueness, and the probability of identical fingerprints appearing between people is very low, because of high security, but there is still a risk of being copied. Therefore, products with the function of living fingerprint collection have appeared, mainly to increase the detection of temperature, elasticity, and microvessels to confirm the authenticity of the collected fingerprints. For the Access Control System with security requirements, in addition to fingerprint identification and time attendance, other identification methods, such as passwords, should be added to improve system security.
1. Palm Recognition Time Attendance Access Control system
The information contained in the palmprint is rich, and the identity of a person can be determined completely by using the line features, point features, texture features, and geometric features of the palmprint. The basis of Palm Recognition Time Attendance technology is palm geometry recognition. Palm geometry recognition is to recognize the physical characteristics of the user's palm and fingers, and advanced products can also recognize three-dimensional images.
Palm geometry recognition is more convenient to use. It is suitable for scenarios with a large number of users or easy acceptance, and the accuracy is very high. In less than 1 second, the identity of the user is confirmed by detecting the three-dimensional features such as the size, shape, and surface area of the user's unique palm, so as to ensure that only authorized personnel can enter specific areas , so as to achieve the purpose of access control. As an alternative to the radio frequency card access control system, the palm print access control system enables users to save the cost of using and managing cards, and can also be used in combination with other access control systems to increase security. Compared with the fingerprint recognition attendance system, the palm recognition system has dirt and scars that do not affect the measurement, and the hand is easy to put in the correct position of the scanner, etc., which is easy for users to accept.
2. Iris recognition access control system
The iris recognition access control system is to determine the identity of people and determine whether to open the door lock by comparing the similarity between iris image features. The process of iris recognition technology generally includes four steps: one is to use specific camera equipment to shoot people's eyes, obtain iris images and transmit them to the image preprocessing software of the iris recognition system. The second is to locate the iris, determine the position of the inner circle, outer circle and quadratic curve in the image; adjust the size of the iris in the image to the system setting parameters, that is, normalize and perform image enhancement. The third is to adopt a specific algorithm to extract the feature points needed for iris recognition from the iris image and encode them. The fourth is to match the feature codes obtained by feature extraction with the iris image feature codes in the database one by one to judge whether they are the same iris, so as to achieve the purpose of identification. The iris recognition access control system does not require physical contact, has a low false recognition rate and high reliability; however, it is difficult to miniaturize the front-end equipment, the cost is high, and it is difficult to promote it on a large scale.
3. Face Recognition Time Attendance access control system
Compared with other recognition technologies, Face Recognition Time Attendance technology has unique advantages in the application process, for example, it is more convenient in the process of image information collection, and has gradually become the most direct and natural type of biometric recognition technology. The focus of intelligence and pattern recognition is also widely used in access control systems.
The face recognition time attendance access control system collects the face information of all personnel who are allowed to access the access control system and stores it in the face database. When a person accesses the access control system, the Face Recognition Time Attendance access control system will first obtain portrait information through the camera, then input the collected portrait information into the computer, and then perform Face Recognition Time Attendance. In this process, the system preprocesses the visitor's portrait information to avoid the influence of expression, lighting and input devices on the results, extracts the features of the preprocessed portrait, and identifies and compares the extracted information with the face information in the database , and record the recognition results. Once the face information that can be successfully compared is identified in the database, the access control system will receive the computer's door opening instruction, and the operation of allowing visitors to enter will be realized through the hardware part of the access control system; otherwise, the computer will not issue an instruction to open the door, and the access control The system will not be opened, and the face information of the visitor will be recorded for future query and supervision.