Multi-biological-feature iris template protection method based on double-hierarchical mapping

A biometric and iris technology, applied in digital data protection, character and pattern recognition, instruments, etc., can solve problems that affect the accuracy of recognition, achieve the effects of simplifying equipment, reducing costs, and reducing the amount of algorithm calculation

Pending Publication Date: 2021-12-07
SHENYANG POLYTECHNIC UNIV
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a template protection method for multi-biological features, and its purpose is to solve the existing problems that require multiple sensors to collect multiple biological features and affect the accuracy of recognition while encrypting

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  • Multi-biological-feature iris template protection method based on double-hierarchical mapping
  • Multi-biological-feature iris template protection method based on double-hierarchical mapping
  • Multi-biological-feature iris template protection method based on double-hierarchical mapping

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Embodiment Construction

[0033] A kind of multi-biological feature iris template protection method based on double hierarchical mapping, its steps include:

[0034] (A1), preprocessing the iris image and face image collected;

[0035] (A2), extract the binary feature of the iris after (A1) step preprocessing by classic Log-Gabor transform, as the template being encrypted;

[0036] (A3), using the canny edge detection operator and the Hough transform to locate the pupil center in the face image after the preprocessing in the (A1) step, and using the Harris corner detection operator to perform the inner corner of the eyes (inner corner of the eye) The corner point is the corner point of the eye on the side close to the nose), and by calculating the distance between the corner points of the inner corners of the eyes and the distance between the center points of the pupils of the eyes, a custom encrypted feature: eye distance ratio is obtained, which is defined as the inner corners of the eyes The ratio ...

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Abstract

The invention discloses a multi-biological-feature iris template protection method based on double-hierarchical mapping. The method comprises the following steps: preprocessing an acquired iris image and an acquired face image; extracting a binary feature of a preprocessed iris as an encrypted template; positioning pupil centers in the preprocessed face image, positioning corners of inner corners of two eyes by utilizing a Harris corner detection operator, and calculating a distance between the corners of the inner corners of the two eyes and a distance between pupil center points of the two eyes to obtain a self-defined encryption feature: an eye distance ratio which is defined as a ratio of the distance between the corners of the inner corners of the two eyes to the distance between the pupil centers of the two eyes; performing grading processing on an obtained key sequence; and finally, carrying out grading Bloom filter matching. The method has the advantages that the algorithm operation amount is low, equipment is simplified, the cost is reduced, the safety performance of a system is improved while the recognition performance of the system is ensured, and three major standards, namely irreversibility, revocability and unlinkability, of biological feature template protection requirements are met.

Description

technical field [0001] The invention relates to the technical field of image recognition and encryption, in particular to a multi-biological feature iris template protection method based on hierarchical Logistic and hierarchical Bloom filters, which can be applied to the encryption protection of iris templates in iris recognition systems. Background technique [0002] At present, biometric identification technology has been widely used in all aspects of social life, and the research on biometric template protection technology is becoming more and more extensive. Compared with single biometric identification, although multi-biometric identification has advantages in terms of identification security and identification accuracy, it has its disadvantages in hardware complexity. For example, fingerprint and iris fusion, face and fingerprint fusion, etc., need to be equipped with different biometric collection devices, and the hardware cost is high and the calculation amount is la...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06F21/60
CPCG06F21/602
Inventor 刘笑楠高艳娜
Owner SHENYANG POLYTECHNIC UNIV
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