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In vivo iris detection method

A technology of living body detection and iris, applied in the direction of instruments, character and pattern recognition, computer components, etc., to achieve the effect of improving safety, real-time living body detection, and improving reliability

Active Publication Date: 2012-05-02
BEIJING IRISKING
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Shi Pengfei et al. (CN 101059837A) of Shanghai Jiaotong University proposed to use the contrast and second-order moment features of the gray scale co-occurrence matrix for iris living detection, but this method is mainly aimed at the detection of color contact lenses

Method used

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Embodiment 1

[0085] Embodiment 1: The present invention is based on the application of the iris living body detection method based on the local binary pattern feature and the adaptive reinforcement learning algorithm in the ATM automatic teller machine based on iris recognition.

[0086] The present invention can be widely applied to the scene of using the iris for identity authentication and identification. A typical application is the identity authentication of bank ATM automatic teller machines. Assume that a bank has launched an iris recognition-based identity authentication system to replace the traditional identity authentication system based on bank cards and passwords among VIP users. The bank first needs to register the VIP user's iris into its user database. After registration, VIP users can log in to the banking system to perform various business operations through their own eyes. The iris recognition system in the bank ATM machine is equipped with the iris living body detecti...

Embodiment 2

[0087] Embodiment 2: The application of the iris living body detection method based on local binary pattern features and adaptive reinforcement learning algorithm of the present invention in the entry-exit personnel verification system based on iris recognition.

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Abstract

The invention relates to a living iris detection method, which comprises the following steps of: S1, pre-treating a living iris image and an artificial iris image in a training image library; performing multi-scale characteristic extraction of local binary mode in an obtained interested area, and selecting the preferable one from the obtained candidate characteristics by using an adaptive reinforcement learning algorithm, and establishing a classifier for living iris detection; and S2, pre-treating the randomly input test iris image, and calculating the preferable local binary-mode characteristic in the obtained interested area; inputting the calculated characteristic value into the classifier for living iris detection obtained in step S1, and judging whether the test image is from the living iris according to the output result of the classifier. The invention can perform effective anti-forgery detection and alarm for the iris image and reduce error rate in iris recognition. The invention is widely applicable to various application systems for identification and safety precaution by using iris recognition.

Description

technical field [0001] The invention relates to the technical fields of digital image processing, pattern recognition and statistical learning, in particular to an iris living body detection method based on local binary pattern features and self-adaptive enhanced learning algorithm. Background technique [0002] Iris recognition recognizes and authenticates people's identities by analyzing the texture differences between different irises. It has the advantages of high uniqueness, strong stability, and non-invasiveness. It has been successfully applied to the identity of airports, customs, banks, etc. Identification. However, with the gradual increase in popularity, iris recognition systems are also facing threats and attacks from various artificial forgery techniques. At present, common techniques for artificially forging iris textures include: paper printed irises, glass or plastic eyeballs with iris patterns, video playback of iris capture, and contact lenses printed with...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 谭铁牛孙哲南何召锋韦卓识
Owner BEIJING IRISKING
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