Method and device for recognizing iris in human eye images

An iris recognition and image-in-image technology, applied in the field of pattern recognition and computer vision, can solve problems such as uncontrollable application scenarios of heterogeneous iris recognition, low recognition accuracy, etc., which are difficult to handle, so as to ensure accuracy and improve work efficiency. , the effect of saving time

Inactive Publication Date: 2017-01-11
天津中科智能识别有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the current traditional iris recognition method has low recognition accuracy, and it is difficult to handl

Method used

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  • Method and device for recognizing iris in human eye images
  • Method and device for recognizing iris in human eye images
  • Method and device for recognizing iris in human eye images

Examples

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Embodiment 1

[0126] The invention provides a method and device for iris recognition in human eye images, based on a convolutional neural network, and its application in heterogeneous iris recognition.

[0127] The invention can be applied to improve the accuracy rate of heterogeneous iris recognition. With the development of science and technology and image acquisition devices, iris images show multi-source heterogeneity, and there are differences in light source bands, sensors, image resolutions, distances, etc., which will cause large intra-class differences and cause false rejections. The rate increases, which greatly reduces the accuracy of system recognition. For example, a person uses a high-definition iris image acquisition device for short-distance acquisition when registering, and uses a portable iris image acquisition device for identification at an unlimited distance. Therefore, the iris images used for registration and identification have different resolutions and distances. q...

Embodiment 2

[0129] The invention provides an iris recognition method in human eye images and a device thereof, based on a convolutional neural network, and applied in a mobile terminal.

[0130] The present invention is applicable to mobile terminals. Mobile devices have been widely used in people's daily life, such as mobile payment, storage of private information, etc., how to ensure its security has attracted more and more attention. Compared with password input and other methods, biometric recognition has the advantages of good user-friendliness and high reliability, and iris is the most distinguishable and anti-counterfeiting modality. Iris recognition has become a new technology to ensure the security of mobile devices. However, the quality of the iris image obtained by the mobile terminal is low, and there are factors such as high noise, low resolution, defocus and motion blur, and it is difficult for traditional recognition methods to obtain high accuracy. With the development of...

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Abstract

The invention discloses a method for recognizing iris in human eye images, and the method comprises the steps: building a preset convolution neural network; selecting a plurality of human eye images in advance, and carrying out the preprocessing of the human eye images; carrying out the training of the preset convolution neural network till an obtained preset convolution neural network model is convergent; carrying out the second image preprocessing of a pair of to-be-tested human eye images, the iris recognition of which needs to be carried out, and obtaining corresponding to-be-tested iris film image pairs with the preset size; inputting the to-be-tested iris film image pairs into the trained preset convolution neural network model in the mode of two channels, obtaining the correlation score of the to-be-tested iris film image pairs, and judging whether the to-be-tested iris film image pairs are of the same type or not. The invention also discloses a device for recognizing iris in the human eye images. The method and device can carry out the timely and accurate recognition of the iris in the human eye images collected in a controllable scene and a non-controllable scene, meet the requirements of a user for the iris recognition, and can improve the work efficiency of the user.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition and computer vision, in particular to a method and device for iris recognition in human eye images. Background technique [0002] At present, with the continuous development of human science and technology, iris recognition technology is becoming more and more popular in people's daily life. Iris recognition is a biometric recognition method that uses the invariance and uniqueness of iris texture to identify identities. It has been successfully It is used in national security, border control, banking and finance, access control and attendance, and mobile terminals. It can be said that whether in artificial intelligence research or public security applications, iris recognition technology has always been a cutting-edge and popular technology, and has a pivotal position. [0003] For iris recognition technology, in practical applications, iris recognition in controllable scenarios has ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/19G06V40/193G06V40/197
Inventor 谭铁牛孙哲南李海青张曼张琪刘年丰
Owner 天津中科智能识别有限公司
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