Multi-level regulating switch based on start of iris identification

Abstract

The invention discloses a multi-level regulating switch based on the start of iris identification. The switch includes a multi-level regulating switch and an iris identifier which is connected to the multi-level regulating switch. The iris identifier includes: (1) a sampling module; (2) a pre-processing module; (3) a feature coding module which is intended for extracting and coding the features of an iris image and includes a first LBP operator processing sub-module, a second LBP operator processing sub-module, a third LBP operator processing sub-module and a fourth LBP operator processing sub-module; and (4) a coding matching module. According to the invention, the switch increases the association between a center point and other neighboring domains in the periphery thereof, and can meet the demands of image textures having different sizes and frequencies. The switch does not effect the association between the center point and the neighboring domains in the periphery thereof, can continuously reduce coding length, saves storage space, reduce computing amount, increases identification speed, improves identification accuracy, and obtains higher robustness.

Description

technical field [0001] The invention relates to the design field of a multi-stage regulating switch, in particular to a multi-stage regulating switch opened based on iris recognition. Background technique [0002] In related technologies, the multi-level adjustment switch with identity verification function usually uses the basic LBP (Local Binary Pattern) operator to extract and encode iris image features, and the LBP operator is a method for describing texture features in the gray scale range of the image , has strong robustness to illumination changes, so it is widely used in image texture feature extraction. [0003] The basic LBP operator is generally defined as: in a 3×3 window by the center point n c and its surrounding 8 neighbors n 0 ,...n 7 composition, where the texture T is defined as: T=(n 0- no c ,n 1- no c ,...,n 7- no c ), binarize it, and use n c As the threshold, the 8 points of the neighborhood and n c Comparison, if the value greater than the c...

AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the present invention provides a multi-level adjustment switch based on iris recognition with fast recognition speed and wide recognition range, which solves the problem of using basic LBP operators to extract and encode iris image features in related technologies. The problem that the switching system cannot handle image textures of different scales and frequencies

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