Method for selecting qualified iris image from video frequency stream

A technology of iris image and video stream, applied in the field of image processing, can solve the problems that cannot meet the high-quality image requirements of the automatic iris collection system, and the iris image quality evaluation method is not universal, etc.

Inactive Publication Date: 2009-01-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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Problems solved by technology

[0007] The above-mentioned iris image quality assessment methods are not very versatile, and cann

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  • Method for selecting qualified iris image from video frequency stream
  • Method for selecting qualified iris image from video frequency stream
  • Method for selecting qualified iris image from video frequency stream

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Embodiment Construction

[0037] In order to describe the content of the present invention conveniently, some terms are defined first.

[0038] Definition 1: Iris. The center of the eyeball is the black pupil, and the ring-shaped tissue between the outer edges of the pupil is the iris. It presents interlaced texture features resembling spots, filaments, striations, and crypts. The iris of the same person hardly changes throughout a person's life, and the iris of different people is completely different.

[0039] Definition 2: Grayscale image. An image that contains only luminance information in the image without any other color information.

[0040] Definition 3: Binarization threshold. The grayscale threshold value used when binarizing the image.

[0041] Definition 4: Binarization. The process of converting all values ​​of the entire image into only two values, generally these two values ​​are 0 and 1 or 0 and 255. When the value on the image is greater than or equal to the threshold value of ...

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Abstract

The invention fully utilizes the gray information and image features of iris image, comprising the following steps: the brightness of the image is detected based on histogram features; whether the iris deviates from image center is judged based on a rough center position of the pupil; the two special reflective spots formed near the pupil by the infrared source are detected; whether blinking or non-human eye image exists is judged based on the existence and size of reflective spots; iris texture and gray value characteristics of eyelashes and eyelids are analyzed, and iris texture availability is calculated; based on the characteristics of radial distribution of iris texture, iris texture definition is effectively judged due to adopting edge gradient energy function. The method of selecting qualified iris images from video stream in iris automatic collection system is realized through evaluating each collected image frame step by step; the preset threshold is compared through sub-steps, thus correctly evaluating iris image quality with strong generality.

Description

【Technical field】 [0001] The invention belongs to the technical field of image processing, and mainly relates to a method for selecting qualified iris images from video streams in biometric identification. 【Background technique】 [0002] In a modern society where information technology is highly developed and electronic services are widely used, information security has penetrated into every aspect of people's daily life. Therefore, biometric identification technology, which can be used for identity authentication and information security protection, has been paid more and more attention by people. Compared with traditional methods, the advantage of biometric identification is that it will not be lost, forgotten and forged, and it is a safe and fast identification method. Iris recognition technology is a new biometric recognition technology. Compared with other biometric recognition technologies, it has the following advantages: stability, uniqueness, high reliability and n...

Claims

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Application Information

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IPC IPC(8): G06K9/00
Inventor 马争骆丽
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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