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Iris positioning method and computer readable storage medium

An iris localization and clustering technology, applied in the field of image processing, can solve problems such as poor robustness and circular misdetection, so as to improve robustness, improve detection accuracy and detection efficiency, and improve detection effect and accuracy. The effect of efficiency

Pending Publication Date: 2020-05-12
FUJIAN TQ DIGITAL
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the robustness of these improved iris positioning methods is often not very good, especially the edge detection operation, which often causes circular misdetection (refer to OpenCV's Hough transform, which can only be used when the circle is relatively regular) accurate detection)

Method used

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  • Iris positioning method and computer readable storage medium
  • Iris positioning method and computer readable storage medium
  • Iris positioning method and computer readable storage medium

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Embodiment 1

[0065] Please refer to Figure 2-10 , Embodiment 1 of the present invention is: an iris positioning method, which can be applied to identity authentication, such as figure 2 shown, including the following steps:

[0066] S1: Acquire an infrared image, the infrared image includes a human face or human eyes, specifically, use an infrared camera to collect a user's human face image or human eye image. For example, if image 3 as shown, image 3 is an infrared image containing the human eye. Since the iris of Asians is mostly black and the iris texture is not clear on the RGB image, the infrared image is used to locate the iris area.

[0067] S2: Perform human eye detection on the infrared image to obtain a human eye detection area. Specifically, the human eye detection operator is used to detect the infrared image to obtain the human eye detection area. The human eye detection operator can be obtained by extracting the HOG feature of the training image and combining with SV...

Embodiment 2

[0085] This embodiment is a computer-readable storage medium corresponding to the above-mentioned embodiments, on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented:

[0086] Acquiring an infrared image, the infrared image includes a human face or human eyes;

[0087] Performing human eye detection on the infrared image to obtain a human eye detection area;

[0088] Perform pixel clustering on the human eye detection area according to a preset clustering number to obtain a clustering diagram;

[0089] Carrying out Hough transform on the cluster map according to the preset first radius range and the second radius range respectively, to obtain the first circle and the second circle;

[0090] determining an annular area according to the first circle and the second circle;

[0091] Merging the clustering areas with more than N number of pixels in the circular area to obtain the clustering merging area, where N...

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Abstract

The invention discloses an iris positioning method and a computer readable storage medium, and the method comprises the steps: obtaining an infrared image which comprises a human face or human eyes; performing human eye detection on the infrared image to obtain a human eye detection area; performing pixel clustering on the human eye detection area according to a preset clustering number to obtaina clustering graph; performing Hough transform on the clustering graph according to a preset first radius range and a preset second radius range to obtain a first circle and a second circle; determining an annular area according to the first circle and the second circle; combining the clustering areas with the first N pixel points in the annular area to obtain a clustering combined area, and N isa preset number; and obtaining an iris area according to the human eye detection area and the clustering merging area. According to the invention, on the basis of ensuring the accuracy of Hough transform, the efficiency of Hough transform is improved, and the robustness of an iris positioning algorithm is enhanced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an iris positioning method and a computer-readable storage medium. Background technique [0002] Iris recognition is an authentication technology that uses biometric features, and it has been used in some scenarios with high safety requirements, such as safes and high-end mobile phone unlocking. Generally, iris recognition technology is roughly divided into four steps: iris positioning, iris normalization, iris feature extraction, and feature matching. [0003] Among them, the mainstream algorithm of iris positioning is to use two Hough transforms for circle detection, and sequentially detect the outer edge of the iris (the junction between the iris and the white of the eye), and the inner edge of the iris (the junction between the iris and the pupil). However, it is time-consuming to directly perform Hough transform on the iris image, and the detected circle may not co...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/46G06K9/62G06K9/00
CPCG06V40/18G06V10/25G06V10/48G06F18/23
Inventor 刘德建陈春雷郭玉湖陈宏
Owner FUJIAN TQ DIGITAL
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