Identity recognition method and device based on iris

Abstract

The invention provides an identity recognition method and device based on iris, and the device comprises a combined cabinet body. The combined cabinet body comprises a plurality of independent subcabinets, and two side edges of the top of each subcabinet are provided with strip-shaped grooves. The bottoms of the subcabinets are provided with strip-shaped projections, matched with the strip-shapedgrooves, along the edges. The edges of the strip-shaped grooves are provided with strip-shaped anti-escaping parts, and the sides, facing the strip-shaped anti-escaping parts, of the strip-shaped projections are provided with lock holes. The strip-shaped anti-escaping parts are provided with locking assemblies, and each locking assembly comprises a housing, wherein the interior of the housing is provided with a linear bearing fixed on the corresponding strip-shaped anti-escaping part, and a sliding block of the linear bearing is connected with a locking head. The sliding blocks are driven by alinear motor to operate, and a drive signal of the linear motor is provided by an iris recognizer. The interior of the housing is also fixedly provided with an iris collector for collecting an initial iris image. The method and device improve the recognition speed while saving a storage space and reducing the calculation burden, improve the recognition accuracy, and obtain the higher robustness.

Description

【Technical field】 [0001] The invention relates to the field of identification, in particular to an iris-based identification method and device. 【Background technique】 [0002] Devices based on iris recognition usually use the basic LBP (Local Binary Pattern) operator to extract and encode iris image features. Strong robustness, so it is widely used in image texture feature extraction. [0003] Although iris recognition technology has been developed rapidly and widely used in recent years, it is still restricted by some objective factors, mainly including: [0004] 1) The iris recognition technology is still not perfect, and the positioning and image quality evaluation methods are lacking. Although it has been improved slightly, it still cannot fully meet the requirements of real-time detection due to problems such as time-consuming and low accuracy; [0005] 2) The manufacturing cost of iris image acquisition equipment is relatively high, and the iris recognition algorithm...

AI Technical Summary

Problems solved by technology

[0004] 1) The iris recognition technology is still not perfect, and the positioning and image quality evaluation methods are lacking. Although it has been improved slightly, it still cannot fully meet the requirements of real-time detection due to problems such as time-consuming and low accuracy;

[0005] 2) The manufacturing cost of iris image acquisition equipment is relatively high, and the iris recognition algorithm is complex and changeable, which is not conducive to user experience and market popularization

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