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Rapid iris collecting, judging and controlling method for iris identification

An iris recognition and iris acquisition technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the long time of focus evaluation, the friendliness of acquisition speed user operation, and the iris image quality evaluation method is not proposed, etc. problems, to achieve the effect of high-quality imaging, no dependence on external imaging conditions, and friendly human-machine interface

Inactive Publication Date: 2013-09-25
GUILIN UNIV OF ELECTRONIC TECH
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AI Technical Summary

Problems solved by technology

[0006] Although Mchugh et al proposed a focus evaluation method, they did not propose a quality evaluation method for iris images, and the acquisition device was fully and effectively controlled during the evaluation process, and the time for focus evaluation was relatively long, so that The user-friendliness of the collection speed is limited to a certain extent
[0007] Bum Chul Kim et al only described a device and the control relationship between the device and the control unit, but lacked a specific iris image quality control analysis processing mechanism support

Method used

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  • Rapid iris collecting, judging and controlling method for iris identification
  • Rapid iris collecting, judging and controlling method for iris identification
  • Rapid iris collecting, judging and controlling method for iris identification

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Embodiment Construction

[0049] Figure 1-6 For an implementation example, its specific implementation method is:

[0050] 1) Calculate the contrast between each pixel in the image and the surrounding pixels

[0051] The operator for contrast detection is:

[0052] p(x,y)=[|I(x+1,y)-I(x,y)|+|I(x-1,y)-I(x,y)|+ (1)

[0053] |I(x, y+1)-I(x, y)|+|I(x, y-1)-I(x, y)|] / 4

[0054] Where p(x, y) is the contrast of the pixel corresponding to the coordinates (x, y), and I(x, y) is the gray value of the pixel with the coordinates (x, y).

[0055] 2) set the threshold value of contrast and gray scale, carry out the pupil rough positioning according to gray scale and contrast to set the threshold value of contrast ratio as P, and the threshold value of gray scale as I p , then the pixel points in the pupil require:

[0056] p(x,y)p (2)

[0057] Count the points in the pupil through these two conditions, and then use the area formula of the circle and the projection to...

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Abstract

The invention provides a rapid iris collecting, judging and controlling method for iris identification. Iris quality detection comprises rapid primary detection after coarse positioning of a pupil and fine detection after the pupil is positioned. Speed of the primary iris quality detection method is high, and definition of an iris, motion blur, whether blinking occurs, the effective iris proportion, and whether an image is a living iris image are all detected. 95% of the iris image after primary quality detection meets the requirement for final fine iris detection, and therefore collecting speed is greatly improved. After iris positioning is completed, fine quality detection of the iris image mainly comprises detection for the definition and the deformation degree of the iris. In addition, the focal length of a CCD, light intensity of a near-infrared light source and a user display interface are controlled in a primary quality detecting process, magnification times of the CCD are controlled in the fine iris quality detecting process, and therefore a user can carry out the method conveniently.

Description

(1) Technical field [0001] The invention relates to a fast iris collection judgment control method applied in an iris recognition system. In particular, the iris image quality is effectively and quickly judged by using the method of combining preliminary rapid detection and precise detection, and on this basis, the iris collection device is controlled to collect user-friendly and fast. On the basis of rough positioning of the iris, the iris definition, blinking, effective iris ratio and whether it is a live iris image have been preliminarily and quickly detected. After the iris is accurately positioned, the iris quality is accurately detected. The initial detection time is very short. And more than 95% of the iris images meeting the final quality requirements can be obtained. These technologies belong to the field of optomechanical integration, automatic control technology and iris recognition technology in biometric technology. (2) Background technology [0002] In the mo...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 彭智勇熊显名李宏周刘建明
Owner GUILIN UNIV OF ELECTRONIC TECH
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