Iris image evaluation method and device and iris recognition method and device
An iris image and evaluation method technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as affecting recognition accuracy, iris image affecting iris texture feature extraction, affecting recognition results, etc., to achieve the effect of ensuring reliability.
Pending Publication Date: 2020-08-07
北京万里红科技有限公司
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Problems solved by technology
The clarity of the iris image will directly affect the feature extraction of the iris texture and directly affect the recognition results
The iris image contains a lot of noise, mainly eyelids, eyelashes, light spots, etc. These noises will seriously affect the definition evaluation results, thereby affecting the subsequent recognition accuracy
Method used
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[0047] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.
[0048] The embodiment of the present disclosure provides an iris image evaluation method 10, which can be used in a terminal device or a cloud server. In some iris recognition scenarios, it can be used in an iris recognition device to evaluate the collected iris image, and then Iris recognition based on evaluation results such as figure 1 Shown, iris image evaluation method 10 compris...
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The invention relates to an iris image evaluation method, an iris image evaluation device, an iris recognition method, an iris recognition device, electronic equipment and a computer readable storagemedium. The iris image evaluation method comprises the following steps: acquiring an iris image; partitioning the iris image to obtain a plurality of sub-images; segmenting the iris image to obtain aniris area; determining a definition value of the iris image based on each sub-image and the gradient of the iris area; judging whether the definition value is greater than a preset threshold; if thedefinition value is greater than a preset threshold, determining that the iris image is a clear image; and if the definition value is smaller than or equal to the preset threshold, determining that the iris image is a blurred image. According to the iris image evaluation method provided by the invention, the clearness of the iris image can be accurately and efficiently determined, so that whetherthe image is clear or not and whether the image can be used for iris recognition or not can be judged, and the reliability of iris recognition is ensured.
Description
technical field [0001] The present disclosure relates to the technical field of data information processing and analysis methods, and in particular to an iris image evaluation method, an iris image evaluation device, an iris recognition method, an iris recognition device, electronic equipment, and a computer-readable storage medium. Background technique [0002] With the advancement of Internet and communication technology, information security issues have emerged. Traditional identification methods mainly use ID cards and the like for identification. With the development of the information society, the loss of user credentials will lead to serious information leakage problems, endangering personal credit and property safety. Therefore, relying on traditional identification methods can no longer meet the security needs of the information society, and convenient and safe biometric identification is more and more widely used. Compared with other biometrics, iris recognition ...
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Login to View More IPC IPC(8): G06T7/136G06T7/13G06T7/11G06T5/00G06N3/04G06K9/34G06K9/00
CPCG06T7/11G06T7/13G06T7/136G06V40/18G06V10/267G06N3/045G06T5/70
Inventor 张小亮王秀贞戚纪纲杨占金其他发明人请求不公开姓名
Owner 北京万里红科技有限公司