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Iris image quality cascade type evaluation method

A technology of iris image and evaluation method, which is applied in the direction of character and pattern recognition, instruments, computer parts, etc., and can solve the problems of low efficiency of iris image quality discrimination and affecting the overall efficiency of iris recognition, etc.

Active Publication Date: 2015-12-02
BEIJING INST OF RADIO METROLOGY & MEASUREMENT
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Problems solved by technology

[0008] The purpose of the present invention is to provide a cascade evaluation method for iris image quality, which solves the problem that the overall efficiency of iris recognition is affected due to the low efficiency of iris image quality discrimination

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  • Iris image quality cascade type evaluation method
  • Iris image quality cascade type evaluation method
  • Iris image quality cascade type evaluation method

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Embodiment Construction

[0070] In order to illustrate the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. Those skilled in the art should understand that the content specifically described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

[0071] Such as figure 1 As shown, the iris image quality cascade evaluation method provided in this embodiment includes the following steps:

[0072] S1. Calculate the relative position of the light source image point and the pupil in the iris image, determine whether there is strabismus, if so, determine that the iris image does not meet the quality requirements, otherwise continue the process;

[0073] S2. Detect the availability of the iris in the iris image according to the grayscale classification statistics method, ...

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Abstract

The invention discloses an iris image quality cascade type evaluation method. The method includes following steps: S1, measuring and calculating the relative position between a light source image point and a pupil in an iris image, determining whether strabismus exists, determining the image fails to satisfy the quality requirement if yes, and continuing if not; S2, detecting the availability of an iris in the iris image according to a grayscale classification statistical method, determining whether the availability is qualified, determining the image fails to satisfy the quality requirement if not, and continuing if yes; S3, measuring and calculating the local energy gradient in the iris image, determining whether defocus blur exists, determining the image fails to satisfy the quality requirement if yes, and continuing if not; and S4, determining whether motion blur exists according to a circular gradient peak value detection method, determining the image fails to satisfy the quality requirement if yes, and determining the image satisfies the quality requirement if not. According to the technical scheme, the design of a multi-thread assembly line is facilitated, the quality evaluation time is effectively reduced, the storage consumption is reduced, and the iris recognition efficiency is improved.

Description

technical field [0001] The invention relates to an image quality evaluation method. More specifically, it relates to a cascade evaluation method for iris image quality. Background technique [0002] Iris recognition has significant advantages such as high accuracy, strong stability, good anti-counterfeiting and non-contact detection. It is currently the most advanced biometric technology known. In the iris recognition system, fast acquisition of high-quality iris images is the key to improve the recognition efficiency. However, in practical applications, due to differences in user habits and cooperation levels, there are often unsatisfactory images such as strabismus, closed eyes, and blurred images in the input iris image video stream; if these images are used for iris recognition, it will seriously affect Recognition efficiency, and greatly increase the risk of false rejection. Therefore, it is necessary to add a quality evaluation step in the iris image preprocessing p...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/18G06V40/63G06V10/94
Inventor 郭慧杰王超楠杨倩倩韩一梁杨昆年丰
Owner BEIJING INST OF RADIO METROLOGY & MEASUREMENT
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