Sign-in method based on multi-mode recognition

Abstract

The invention relates to a sign-in method based on multi-mode recognition. The sign-in method comprises the steps of: acquiring face video images and fingerprint information of identity information recognizing people; automatically detecting infrared rays on the surface of human bodies by means of a pyroelectric infrared sensor which is arranged on the surface of sign-in equipment, and controlling the sign-in equipment to turn on by the pyroelectric infrared sensor when staff enters a sign-in sensing region; selecting the face video image under the appropriate illumination intensity background according to the illumination intensity during sign in, matching the selected face video image with acquired facial image data, and matching fingerprints of the staff with acquired fingerprint information, and calculating a matched-degree score result A; and selecting the face video image under the appropriate illumination intensity background again according to the illumination intensity during sign in, matching the selected face video image with the acquired facial image data, and matching the fingerprints of the staff with the acquired fingerprint information, and calculating a matched-degree score result B. The sign-in method has the advantages of accurate judgment, good reliability, low price and wide application.

Description

technical field [0001] The invention belongs to the technical field of intelligent image recognition, and in particular relates to a check-in method based on multiple pattern recognition. Background technique [0002] In the portrait recognition system, portrait recognition is performed by calculating the matching degree between the facial image of the user to be recognized and the facial images of each user stored in the database. For the matching degree represented by a score, a higher score indicates a match The higher the degree is, if the score indicating the matching degree is greater than or equal to a certain threshold, it is considered that the user to be identified is the same person as the corresponding user stored in the database, but this score will be subject to objective factors such as lighting, angle, clarity, etc. The impact of conditions, thus affecting the result of the judgment, which greatly affects the application and promotion of intelligent portrait ...

AI Technical Summary

Problems solved by technology

[0002] In the portrait recognition system, portrait recognition is performed by calculating the matching degree between the facial image of the user to be recognized and the facial images of each user stored in the database. For the matching degree represented by a score, a higher score indicates a match The higher the degree is, if the score indicating the matching degree is greater than or equal to a certain threshold, it is considered that the user to be identified is the same person as the corresponding user stored in the database, but this score will be subject to objective factors such as lighting, angle, clarity, etc. The impact of conditions, thus affecting the result of the judgment, which greatly affects the application and promotion of intelligent portrait recognition technology, and the existing portrait recognition sign-in device only judges the sign-in person once, and directly rejects it after finding that the matching degree is not enough. This greatly affects the efficiency of sign-in. In addition, the current face recognition sign-in device is not equipped with a thermal imaging system. Individual employees use this loophole to help others sign in with photos. This also greatly reduces work efficiency and even affects workers. The working atmosphere has an extremely adverse impact on the spirit of the enterprise. Therefore, it is necessary to provide a check-in method based on multiple pattern recognition

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