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Iris image database synthesis method based on block texture sampling

An iris image and database technology, applied in the field of pattern recognition, can solve problems such as controversial, difficult database, time-consuming and energy-consuming, etc., and achieve the effect of strong simulation, high similarity, and excellent test environment

Active Publication Date: 2010-09-29
BEIJING IRISKING
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Problems solved by technology

However, obtaining such a database is very difficult, not only requires a lot of time and effort, but also because people pay more and more attention to privacy, collecting large-scale iris images is easy to bring controversial issues

Method used

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  • Iris image database synthesis method based on block texture sampling
  • Iris image database synthesis method based on block texture sampling
  • Iris image database synthesis method based on block texture sampling

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Embodiment Construction

[0051] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0052] Iris image synthesis can provide large-scale training and testing databases for iris recognition algorithms, thereby enhancing the stability and robustness of the algorithms. The present invention proposes a novel iris image synthesis algorithm, the flow chart of which is as follows figure 1 shown. figure 1 In the above, the iris image to be sampled is the iris texture extracted from the real iris image, and the texture block is used as the primitive to sample the image and re-synthesized to obtain a normalized iris image, and then according to the iris in various external and Change characteristics under internal conditions, synthesize mul...

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Abstract

The invention relates to an iris image database synthesis method which is based on the massive texture sampling, comprising the following steps: the pretreatment of an iris image is carried out, and an obtained specific target region is taken as an input image of synthesized textures. The method effectively obtains clean iris textures from the real iris image; the iris image synthesis which is based on the massive texture sampling obtains a virtual synthesized iris image from the real iris image by the non-parametric sampling method; a plurality of frames of similar inner iris images are synthesized from the virtual image by simulating the change characteristics of an iris under various external and internal conditions, thereby generating a large-scale iris image database; the synthesizednormalized iris image is converted to the circular iris; and an evaluation system of the synthesized iris image database is established. The method is used for the large-scale test of the iris recognition algorithm for comparing and predicting the performance of the algorithm and can also be used as the virtual image to carry out the attack test on an existing system, thereby adding the anti-counterfeiting function for an application system.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to image processing and biological feature recognition technology. Background technique [0002] Living in a highly informationized modern society, identity recognition has penetrated into every aspect of people's daily lives. As a new identification technology, biometric technology has been more and more widely used. Iris-based biometric identification technology has developed rapidly in the past ten years. However, since there are not many public iris image databases and they are relatively small, and some large-scale iris image databases are still private, most of the current iris recognition algorithms can only perform on some relatively small databases. test. Such test results do not have good generalization ability, so they cannot predict the performance of recognition algorithms in large-scale applications. It can be seen that the iris recognition ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
Inventor 谭铁牛孙哲南韦卓识
Owner BEIJING IRISKING
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