Elevator car identified through iris

Abstract

The invention discloses an elevator car identified through iris. The elevator car comprises an elevator car and an iris identifier in electric signal connection with the elevator car; and the iris identifier includes a sampling module (1), a preprocessing module (2), a characteristic encoding module (3) for extracting and encoding characteristics of iris images and including a first LBP operator processing submodule, a second LBP operator processing submodule, a third LBP operator processing submodule and a fourth LBP operator processing submodule, and a code matching module (4). The adopted technical scheme by the elevator car adds relevance between a center point and other surrounding adjacent areas, can satisfy image textures with different sizes and frequencies, continuously reduces the encoding length without influencing relevance between the center point and the surrounding adjacent areas after multiple times of processing by the LBP operator processing submodules, saves the storage space, reduces the calculated amount, accelerates the identifying speed, enhances the identifying accuracy, and is higher in robustness.

Description

technical field [0001] The invention relates to the field of elevator car design, in particular to an elevator car for identification through iris. Background technique [0002] In the related art, the elevator car that is identified by the iris usually uses the basic LBP (local binary pattern) operator to extract and encode the iris image features. The LBP operator is a method for describing the texture features in the gray scale of the image. It 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 -n c ,n 1 -n c ,...,n 7 -n 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 center point is marked as 1, otherwise it is marked as 0. The tex...

AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the present invention provides an elevator car system with fast recognition speed and wide recognition range through iris recognition, which solves the problem of using basic LBP operators to extract and encode iris image features in related technologies. The problem of not being able to handle image textures of different scales and frequencies

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