Nonlinear enhancing method for low-quality natural light iris images

An iris image, non-linear technology, applied in the field of natural light iris image enhancement, can solve problems such as the limitation of local image detail enhancement, and achieve the effect of facilitating subsequent processing and recognition, enhancing texture details, and enhancing local texture details

Inactive Publication Date: 2016-03-23
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0006] The existing methods only consider the global brightness information, and there are limitations in enhancing the local details of the image.

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  • Nonlinear enhancing method for low-quality natural light iris images
  • Nonlinear enhancing method for low-quality natural light iris images
  • Nonlinear enhancing method for low-quality natural light iris images

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Embodiment Construction

[0040] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] This low-quality natural light iris image nonlinear enhancement algorithm proposed by the present invention, its flow chart is as follows figure 1 shown, including the following steps:

[0042] S1, converting the RGB image into an HSV color image;

[0043] S2. Complete the block processing of the luminance matrix on the V channel and perform non-linear luminance enhancement on each image;

[0044] S3. Using multi-scale Gaussian function to perform non-linear contrast enhancement on the V-channel brightness matrix of the sub-block image in combination with the brightness enhancement result;...

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Abstract

The invention discloses an algorithm for enhancing the textures of low-quality natural light iris images by utilizing blocked multiscale Gaussian convolution. The algorithm comprises the following steps: converting an iris image to an HSV space, blocking the image at a V channel and carrying out nonlinear brightness enhancing operation on each block; carrying out convolution by utilizing multiscale Gaussian functions, and carrying out nonlinear operation on the convolution result and the brightness enhancing result to realize contrast enhancement; and synthesizing the enhanced V channel image and the original H and S color information to obtain the final image. According to the algorithm, the texture details and the whole brightness of the natural light iris image are enhanced at the same time, so that benefit is brought to the subsequent characteristic extraction, and the correctness and robustness of the natural light iris recognition can be enhanced.

Description

technical field [0001] The invention belongs to the technical field of computer vision and pattern recognition, and particularly relates to natural light iris image enhancement technology, which improves the iris recognition rate by enhancing low-quality natural light iris texture information. Background technique [0002] Iris recognition occupies an important position in the field of biometric recognition technology due to its high reliability, stability and non-invasive advantages. The existing technologies mostly use high-quality iris images under near-infrared illumination for recognition. With the popularization of iris recognition technology, the iris image collected in the natural light scene in the imaging environment is used for recognition, which can effectively expand the application of iris recognition system. Because the image contains scene interference and the texture definition is not high, low-quality natural light iris images may appear, which brings diff...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T5/00
CPCG06T5/001G06V40/193
Inventor 何玉青梁萌萌侯博严王雪
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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