Non-local mean filtering method based on direction field estimation

A non-local mean, directional field technology, applied in computer parts, computing, instruments, etc., can solve the problems of poor noise suppression performance and poor robustness

Active Publication Date: 2012-10-17
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0008] Aiming at the defects of the prior art, the purpose of the present invention is to provide a non-local mean filtering method based on direction field estimation, which aims to solve the problems of weak suppression performance and poor robustness of noise existing in the existing method, and improve The contrast between the lines in the fingerprint image, and protect the feature information in the fingerprint image from being corroded

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  • Non-local mean filtering method based on direction field estimation
  • Non-local mean filtering method based on direction field estimation
  • Non-local mean filtering method based on direction field estimation

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[0036] 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.

[0037] Such as figure 1 As shown, the non-local mean filtering method based on direction field estimation of the present invention comprises the following steps:

[0038] (1) Receive a discrete noise fingerprint image I, and establish a direction field estimation model for pixel blocks in the discrete noise fingerprint image;

[0039] For the discrete noise fingerprint image I, let any pixel point i, j∈I, (u, v) be the coordinates of any pixel point, then the direction field of the pixel block centered on pixel point i is estimated by the following equation:

[0040] G ...

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Abstract

The invention discloses a non-local mean filtering method based on direction field estimation. The non-local mean filtering method comprises the following steps of receiving a discrete noise fingerprint image, establishing a direction field estimation model of a pixel block in the discrete noise fingerprint image, and performing non-local mean filtering on the discrete noise fingerprint image based on the direction field estimation model to obtain a final denoising fingerprint image. According to the non-local mean filtering method, the problem of poor inhibition performance and poor robustness on noise in the conventional method is solved, contrast among grains in the fingerprint image is enhanced, and characteristic information in the fingerprint image is protected from damage.

Description

technical field [0001] The invention belongs to the field of fingerprint image denoising enhancement, and more specifically relates to a non-local mean filtering method based on direction field estimation. Background technique [0002] With the rapid development of biometric technology in recent years, fingerprint recognition has become a widely used identification technology due to its advantages of stability, efficiency and convenience. In the fingerprint recognition system, the fingerprint recognition algorithm is one of the research hotspots, especially in the denoising enhancement of noisy fingerprint images. Denoising enhancement is an indispensable operation in fingerprint image preprocessing, and its processing effect directly affects the validity and reliability of subsequent fingerprint matching analysis. However, due to factors such as the cleanliness of the finger surface, the complexity of the recognition environment, and the defects of the fingerprint image se...

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Application Information

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IPC IPC(8): G06K9/00G06K9/40
Inventor 张旭明邹建王俊张明丁明跃熊有伦尹周平王瑜辉
Owner HUAZHONG UNIV OF SCI & TECH
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