Anti-counterfeiting identification method and device for a multi-spectral multi-eye camera

Abstract

The invention discloses a method for anti-counterfeiting identification of a multi-spectrum multi-eye camera, comprising: the multi-eye camera respectively obtains a plurality of image information of a target to be identified from different angles, and in the process, a composite light source alternately emits visible light under the control of a processor The target to be identified is irradiated with infrared light; the processor obtains multiple image information from the multi-eye camera for processing, and fits the 3D image of the target to be identified in the current environment, and also fits the 3D image information of the target to be identified, Obtain the shape information and reflection wavelength information of the target to be identified; if the processor judges that the three-dimensional image, shape information and wavelength information of the target to be identified are the same as the prefabricated information, it is determined that the target to be identified is a true target. The embodiment of the present application also provides an anti-counterfeit identification device with a multi-spectral multi-eye camera, which uses a multi-eye camera to capture the target to be identified, fits a three-dimensional image, and identifies the material of the target to be identified through an infrared image, thereby realizing anti-counterfeit identification and detection.

Description

technical field [0001] The invention relates to the technical field of imaging, in particular to an anti-counterfeit identification method and device for a multi-spectral multi-eye camera. Background technique [0002] As an important part of intelligent transportation system (ITS), license plate recognition (LPR) has become a research hotspot at home and abroad in the past 30 years, and has reached a high level of application so far. The existing LPR uses visible light images as the data source, and realizes the automatic recognition of the license plate through image processing, pattern recognition and other technologies. In recent years, violations such as altering license plates that interfere with the normal operation of LPR have become common occurrences, posing severe challenges to LPR technology. [0003] At the same time, in the prior art, the LPR technology has no adaptability to some damaged license plates and forged license plates. For example, fake paper licen...

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