Grating camera-based biological feature 3D four-dimensional data recognition method and system

Abstract

The invention provides a grating camera-based biological feature 3D four-dimensional data recognition method. The method comprises the following steps of: controlling a grating module to slide to a first predetermined position of a sliding rail, so as to ensure that the grating module starts to acquire three-dimensional information data and color information data of human body biological featuresfrom the first predetermined position; controlling the grating module to slide a preset distance and obtaining the three-dimensional information data and color information data acquired by the gratingmodule after each movement until the grating module moves to a second predetermined position, and carrying out 3D reconstruction; and searching biological feature 3D four-dimensional data stored in adatabase by utilizing identity information of a target organism, and carrying out corresponding point cloud comparison to recognize the identity of the target organism. The invention furthermore provides a grating camera-based biological feature 3D four-dimensional data recognition system. According to the method and system provided by the invention, the algorithm complexity is reduced and the precision and efficiency of 3D reconstruction of human body biological features are improved.

Description

technical field [0001] The invention relates to the technical field of image reconstruction and recognition, in particular to a method and system for recognizing biometric 3D four-dimensional data based on a raster camera. Background technique [0002] Biological characteristics are the inherent physiological or behavioral characteristics of living things, such as fingerprints, palm prints, irises or human faces. Biological characteristics have certain uniqueness and stability, that is, the difference between any two biological characteristics is relatively large, and biological characteristics generally do not change greatly over time, which makes biological characteristics very suitable for application In scenarios such as identity authentication or authentication information in the identification system. [0003] The current biometric data are all two-dimensional data of the spatial plane. Taking the biometric data of the head and face as an example, the application of d...

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Problems solved by technology

[0003] The current biometric data are all two-dimensional data of the spatial plane. Taking the biometric data of the head and face as an example, the application of data related to the head and face stays in simple image applications, that is, it can only be viewed from a specific angle. Processing, recognition, and other applications of head and face data; taking the biological characteristics of fingers as an example, two-dimensional methods are mainly used to identify the characteristics of one or several fingers, and some criminals collect data based on the fingers. The two-dimensional picture obtained, imitating the two-dimensional finger features, deceived part of the identification system, and brought a great security risk to personal information security

[0004] At present, grating 3D data acquisition equipment is widely used in the field of industrial inspection, and there is no data acquisition for human body's biological characteristics; and the current data using raster scanning only has 3D contour information, no color information, which limits its application range

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