ATM (automatic teller machine) input device with identification functions implemented by aid of irises

Abstract

The invention discloses an ATM (automatic teller machine) input device with identification functions implemented by the aid of irises. The ATM input device comprises an ATM input device body and an iris identifier. The iris identifier is in electric signal connection with the ATM input device body and comprises a sampling module (1), a preprocessing module (2), a feature encoding module (3) and an encoding matching module (4), and the feature encoding module is used for extracting and encoding features of iris images and comprises a first LBP (local binary pattern) 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. The ATM input device has the advantages that the relevance of central points and other surrounding neighborhoods can be improved, requirements on image textures with different scales and frequencies can be met, the encoding lengths can be continuously reduced after the iris images are repeatedly processed by the LBP operator processing sub-modules without influence on the relevance of the central points and the surrounding neighborhoods, accordingly, storage spaces can be saved, the computational complexity can be reduced, the identification speeds can be increased, the identification accuracy can be improved, and the ATM input device is high in robustness.

Description

technical field [0001] The invention relates to the design field of ATM machine input devices, in particular to an ATM machine input device for identifying through iris. Background technique [0002] In the related art, the ATM machine input device that recognizes through the iris usually adopts the basic LBP (Local Binary Pattern) operator to extract and encode the iris image features, and the LBP operator is a method for describing the 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 center point is ma...

AI Technical Summary

Problems solved by technology

[0005] In view of the above-mentioned problems, the present invention provides a kind of ATM machine input device that a kind of identification speed is fast, identification range is wide, and a kind of ATM machine that uses iris to identify, solves the ATM machine input device that adopts basic LBP operator to extract and code iris image feature in the related art. The problem that the device system cannot handle image textures of different scales and frequencies

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