Let science fiction become a reality Face recognition has entered the security market

Go to the door, do not need to open the key door to open automatically; disguise want to mix in the crowd, only to blink a moment has been seen; micron explosive embedded in the nail seam can not see the naked eye, but in detection There is no such thing as the “eye-shadow” of the device... These scenes in the movie “Mission Impossible” are dazzling, but this is not just a movie stunt. Face recognition technology has made science fiction a reality and has gradually become market-oriented.

What is face recognition technology?

Face recognition specifically refers to the biometric identification technology that uses identity analysis to compare facial features. The main technologies include face image collection, face location, face recognition preprocessing, identity verification, and identity search.

Face recognition technology is divided into two categories: two-dimensional face recognition and three-dimensional face recognition. The two-dimensional face recognition is based on the face plane image, but actually the face itself is three-dimensional. The face plane image is only a projection of a three-dimensional face in a plane. In this process, part of the information is bound to be lost. The further improvement of the two-dimensional face recognition performance has been adversely affected by factors such as ambient light, posture, and expression.

Three-dimensional face recognition is based on three-dimensional face images. Theoretically speaking, it possesses some technical advantages of three-dimensional image information. However, there are always collection devices that are expensive, the acquisition system is complex, the storage is high, the face reconstruction algorithm is very complex, and the recognition speed is relatively high. Slow and other shortcomings.

The current domestic leader is Hanwang's binocular stereoscopic face recognition technology. Hanwang face recognition system uses dual cameras, the right side of the camera picture for face positioning and eye positioning, at the same time, the left side of the camera and the right side of the camera picture for stereo integration, restore the three-dimensional face model, based on this, Feature extraction and comparison to achieve template input and identification functions.

The key technology of face recognition The most critical technology for face recognition includes two parts: face detection and face identification.

The core of the face detection and detection technology is called: Iterative Dynamic Local Feature Analysis (SDLFA), which is based on the internationally-accepted Local Feature Analysis (LFA) and Dynamic Local Feature Analysis (DLFA), and is based on real-life business scenarios. Comprehensive algorithm enhancements and results optimization. Face detection has two functions: one is to determine if there is a face in the image, and the other is to determine the exact position of the face if there is a face.

The core of face recognition and recognition technology is called: Real-time facial feature matching (RFFM), which features compact identification data and accurate and efficient feature algorithms. It is an international and domestic original recognition technology. There are many specific methods for face recognition, such as face recognition methods with geometric features. Geometric features can be the shape of the eyes, nose, mouth, etc., and the geometric relationship between them (such as the distance between them). At present, the measurement of the distance between two eyes is more. These algorithms are fast and require little memory, but their recognition rate is low. In addition, there are face recognition methods based on feature faces, face recognition methods based on neural networks, face recognition methods based on elastic map matching, and face recognition methods based on support vector machines.

The application of face recognition in life Face recognition is mainly used for identification. During the investigation of criminal cases in public security, the target image data is searched to find out if there is any basic population information in the database. For example, install a system at an airport or a station to catch fugitives.

Areas protected by security can identify the identity of the person trying to enter through face recognition, and can be used for corporate and residential security and management, such as face recognition access control attendance systems, face recognition security doors, etc.

In e-commerce and web applications, face recognition can also be used to verify the identity of the parties. In short, face recognition has moved from technology research and development to commercial promotion and application. It is believed that face recognition will bring convenience and protection to our lives.

In addition, face recognition technology has brought small pleasures to our daily life. For example, Sina Weibo has an “easy-to-wear hall” and “Yongrongdao” is an application component based on advanced face recognition technology. This component can turn your facial features into an idol star. It does not require any surgery or plastic surgery. It can be achieved by simply operating the computer in 3 steps.