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A brief introduction to face recognition technology
A brief introduction to face recognition technology
1. development history
The research of face recognition system began in 1960s. After 80s, with the development of computer technology and optical imaging technology, the real entry stage was in the late 90 years, and the technology realized in the United States, Germany and Japan. The key to the success of the face recognition system was whether to have the tip or not. The core algorithm and the recognition results have practical recognition rate and recognition speed. "Face recognition system" integrates artificial intelligence, machine recognition, machine learning, model theory, expert system, video image processing and other specialized technologies. It is also a biological feature that combines the theory and implementation of intermediate value processing. The latest application of recognition, the realization of its core technology, shows the transformation from weak AI to strong AI.
2. technical features
2.1 face recognition
The traditional face recognition technology is mainly based on visible light image recognition, which is a familiar way of recognition. It has more than 30 years of research and development history. However, this method is difficult to overcome. Especially when the ambient light changes, the recognition effect will drop sharply, and can not meet the needs of the actual system. The solutions to illumination problems include 3D face recognition and thermal face recognition. But these two technologies are far from mature, and the recognition effect is not satisfactory.
A solution developed rapidly is multi light source face recognition technology based on active near-infrared images. It can overcome the influence of light change, and has achieved excellent recognition performance. The overall system performance in precision, stability and speed is more than 3D image face recognition. This technology has been developing rapidly in the past two or three years, making face recognition technology gradually becoming practical.
Human face is innate to other biological features (fingerprint, iris, etc.). Its uniqueness and not easy to be replicated provides the necessary prerequisite for identity identification. Compared with other types of biometric recognition, face recognition has the following characteristics:
Non mandatory: the user does not need to cooperate with the face acquisition equipment, and can almost get the face image in the unconscious state, so the sampling method is not "mandatory".
2.2 characteristics
Non contact: users do not need direct contact with the device to get face images.
Concurrency: in the actual application scenario, you can sort, judge and identify multiple faces.
In addition, it also accords with the visual characteristics: the characteristics of "identifying people by appearance", and the characteristics of simple operation, intuitive results and good concealment.
It
The research of face recognition system began in 1960s. After 80s, with the development of computer technology and optical imaging technology, the real entry stage was in the late 90 years, and the technology realized in the United States, Germany and Japan. The key to the success of the face recognition system was whether to have the tip or not. The core algorithm and the recognition results have practical recognition rate and recognition speed. "Face recognition system" integrates artificial intelligence, machine recognition, machine learning, model theory, expert system, video image processing and other specialized technologies. It is also a biological feature that combines the theory and implementation of intermediate value processing. The latest application of recognition, the realization of its core technology, shows the transformation from weak AI to strong AI.
2. technical features
2.1 face recognition
The traditional face recognition technology is mainly based on visible light image recognition, which is a familiar way of recognition. It has more than 30 years of research and development history. However, this method is difficult to overcome. Especially when the ambient light changes, the recognition effect will drop sharply, and can not meet the needs of the actual system. The solutions to illumination problems include 3D face recognition and thermal face recognition. But these two technologies are far from mature, and the recognition effect is not satisfactory.
A solution developed rapidly is multi light source face recognition technology based on active near-infrared images. It can overcome the influence of light change, and has achieved excellent recognition performance. The overall system performance in precision, stability and speed is more than 3D image face recognition. This technology has been developing rapidly in the past two or three years, making face recognition technology gradually becoming practical.
Human face is innate to other biological features (fingerprint, iris, etc.). Its uniqueness and not easy to be replicated provides the necessary prerequisite for identity identification. Compared with other types of biometric recognition, face recognition has the following characteristics:
Non mandatory: the user does not need to cooperate with the face acquisition equipment, and can almost get the face image in the unconscious state, so the sampling method is not "mandatory".
2.2 characteristics
Non contact: users do not need direct contact with the device to get face images.
Concurrency: in the actual application scenario, you can sort, judge and identify multiple faces.
In addition, it also accords with the visual characteristics: the characteristics of "identifying people by appearance", and the characteristics of simple operation, intuitive results and good concealment.
It