Iris recognition system, application method thereof and eigenvalue extraction method for incomplete images in iris recognition process

Abstract

The invention discloses an iris recognition system, an application method thereof and an eigenvalue extraction method for incomplete images in the iris recognition process. The iris recognition system comprises a background cloud server and one or more local iris recognition devices, wherein each local iris recognition device comprises an access controller, an access control drive valve, a local industrial personal computer and an image acquisition unit; each image acquisition unit acquires iris image data, and each local industrial personal computer recognizes the acquired iris image data by use of a stored iris recognition model and controls the access control drive valve by the aid of the access controller according to the recognition result to open access control or keep the access control closed; the local industrial personal computer in each local iris recognition device is in connection communication with the background cloud server to send sample data of the iris recognition model and receive a new iris recognition model, and the background cloud server updates the iris recognition model corresponding to each local iris recognition device on the basis of the received sample data. The iris recognition accuracy can be improved with the passage of time and the application of the system, and meanwhile, the convenience of remote system maintenance and upgrade is improved.

Description

technical field [0001] The present invention relates to the technical field of security equipment such as warehouses and banks (such as access control, etc.) and places with high confidentiality requirements, especially an iris recognition system and its application method, as well as feature value extraction for incomplete images in the process of iris recognition method. Background technique [0002] Iris recognition technology is a technology based on the iris in the eye for identification, which has been studied as early as the 1980s. Due to its technical advantages such as biological activity, non-contact, uniqueness, stability, and anti-counterfeiting, iris recognition technology has become a leader in the field of biometrics, and is widely considered to be the most promising biometric authentication technology in the 21st century. For two basic parameters in the field of identification: recognition rate and rejection rate, the false recognition rate of iris recogniti...

AI Technical Summary

Problems solved by technology

[0005] In image acquisition, it is often difficult to obtain a clear and complete iris image, which is often an incomplete image, and the traditional Daugman algorithm or Wildes algorithm often has unsatisfactory results;

[0006] The existing iris recognition system is often a separate set of equipment without the support of a background server. Due to the cost of equipment, there are often deficiencies in computing, processing, and storage, and it cannot adapt to some more complex algorithm hardware;

[0007] The existing iris recognition model is often formed on the local industrial computer or control board, and the recognition rate and rejection rate are fixed at the beginning of installation, and cannot be improved as time goes by and the continuous use of the system;

[0008] The maintenance and upgrade of the existing iris recognition system requires professional staff to go to the site for processing, which cannot be processed remotely and in a timely manner

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