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Weak-parameter-dependence fingerprint image frequency domain filtering enhancement method and system

A fingerprint image and parameter technology, applied in image enhancement, image data processing, instruments, etc., can solve the problem of inability to accurately obtain direction and frequency of low-quality fingerprint areas, poor enhancement effect of fingerprint singular point areas, and difficulty in effectively enhancing low-quality fingerprints, etc. problem, to avoid the ringing effect, improve the quality of enhancement, and the effect of strong fault tolerance

Inactive Publication Date: 2018-01-09
CHINA UNIV OF MINING & TECH
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AI Technical Summary

Problems solved by technology

However, these improved methods still depend on parameters such as ridge direction and frequency, and it is difficult to effectively enhance low-quality fingerprints.
[0004] The existing fingerprint enhancement methods have their own advantages, but the disadvantage is that they all rely heavily on the accurate acquisition of fingerprint context parameters, and the enhancement effect on the singular point area of ​​​​the fingerprint is poor, and the low-quality fingerprints that cannot accurately obtain information such as direction and frequency area powerless

Method used

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  • Weak-parameter-dependence fingerprint image frequency domain filtering enhancement method and system
  • Weak-parameter-dependence fingerprint image frequency domain filtering enhancement method and system
  • Weak-parameter-dependence fingerprint image frequency domain filtering enhancement method and system

Examples

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Embodiment 1

[0034] Such as figure 1 As shown, this implementation example includes the following steps:

[0035] Step 1: Preprocess the fingerprint image, including normalization and segmentation. Block the preprocessed fingerprint image in the airspace: take the inner block size as 16×16, divide the original fingerprint image into blocks, and mark all blocks as unenhanced blocks. Based on the linear projection analysis of the point gradient vector set, the direction consistency measure of the fingerprint block image is given, and the quality grades of all blocks are divided into high, medium, low and poor according to the result of block point direction consistency measurement. Q b The values ​​of 1, 2, 3, and 4 correspond to the quality of the image block respectively: high, medium, low, and poor;

[0036]

[0037] Step 2: If there are unenhanced blocks, press figure 2 Construct the block set to be enhanced; otherwise, go to step 7. The specific process is as follows:

[0038]...

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Abstract

The invention proposes a weak-parameter-dependence fingerprint image frequency domain filtering enhancement method and system, and the method comprises the steps: converting a fingerprint image to a frequency domain through space-frequency domain conversion under a level frame and a composite window strategy; building a frequency spectrum matching filter in the frequency domain; carrying out the fingerprint image enhancement of frequency spectrum filtering and frequency spectrum diffusion based on the frequency spectrum matching filter, thereby avoiding a defect that a conventional fingerprintenhancement method depends on parameters, remarkably improving the enhancement quality of the fingerprint image, and especially improving the enhancement quality of a low-quality fingerprint image.

Description

technical field [0001] The invention relates to the fields of pattern recognition, machine learning and image processing, in particular to a method for weakly parameter dependent fingerprint image frequency domain filtering enhancement. Background technique [0002] Biometric technology is one of the hotspots in the field of information science and technology. Fingerprint recognition is currently the most widely used biometric technology. Compared with other biometric technologies, fingerprint recognition technology is widely used in various occasions for identification due to its lifetime uniqueness, invariance, reliability, convenience, and ease of collection. Automatic Fingerprint Identification System (AFIS) is an important representative of biometric technology, and its evaluation criteria are system recognition rate and execution speed. Fingerprint image enhancement is one of the key issues of AFIS. The accurate and reliable fingerprint image enhancement method can ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T5/10
Inventor 丁世飞卞维新
Owner CHINA UNIV OF MINING & TECH
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