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Fingerprint image segmentation method based on artificial immunogenetics and morphology

A fingerprint image and artificial immune technology, applied in the field of image processing, can solve the problems of low-quality fingerprint segmentation and unstable results

Inactive Publication Date: 2011-07-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

[0009] The above fingerprint segmentation methods all have problems to a certain extent, and the segmentation effect on low-quality fingerprints is unstable.

Method used

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  • Fingerprint image segmentation method based on artificial immunogenetics and morphology
  • Fingerprint image segmentation method based on artificial immunogenetics and morphology
  • Fingerprint image segmentation method based on artificial immunogenetics and morphology

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Embodiment Construction

[0068] The method of the present invention is implemented in VC6.0 software, and the fingerprint image is obtained by a CMOS pressure-sensitive sensor. The average time to complete a fingerprint image segmentation in PC Intel Celeron 1.0GHZ with VC6.0 is about 0.7s.

[0069] A specific implementation example of the present invention is given below.

[0070] It should be noted that the parameters in the following examples do not affect the generality of this patent.

[0071] 1. Collect the fingerprint image, and use the method of step 1 to normalize the gray value of the fingerprint image, where the average gray value M 0 The size is 100, the grayscale variance value VAR 0 The value size is 100.

[0072] 2. Treat the fingerprint image as an antigen for decimal encoding, and treat the threshold value to be solved as an antibody for decimal encoding.

[0073] 3. Initialize the antibody matrix and determine the maximum number of iterations, where the maximum number of iteratio...

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Abstract

The invention relates to a fingerprint image segmentation method based on artificial immunogenetics and morphology, belonging to the technical field of image processing. In the invention, an optimal segmentation threshold is calculated by an artificial immunogenetic method; the algorithm integrates the immune mechanism and evolution mechanism, absorbs the advantage of parallel searching in the genetic algorithm, can effectively prevent the phenomenon of colony degradation on the basis of quick searching by vaccine inoculation and vaccine selection, and uses fingerprint image grey scale value consistency and antibody concentration in the segmentation method based on grey scale and gradient distribution as the affinity function of the antibody to carry out genetic iteration, thereby generating the optimal antibody; and therefore, the method can effectively segment the fingerprint image, has the characteristics of favorable segmentation effect, high robustness, low calculation amount and low time consumption, and can satisfy the requirement for real-time fingerprint identification.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to the fingerprint image processing technology in the fingerprint identification technology. Background technique [0002] Biometric identification technology is a solution that uses automatic technology to measure the characteristics of the body or the behavior characteristics of individuals for identity verification, and compares these characteristics or characteristics with the template data in the database to complete the authentication. As one of the most mature and deeply researched identification technologies in biometric technology, fingerprint identification technology has been successfully applied in various fields of social life, such as: access control, attendance system, e-commerce, feature password verification and criminal identification system wait. As a safe and reliable identification method, the fingerprint automatic identification system established by ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/36
Inventor 解梅叶振栋
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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