Texture feature extraction method, texture feature extraction device and terminal equipment

Abstract

The invention provides a texture feature extraction method. The texture feature extraction method comprises the steps of obtaining a grayscale image, wherein the grayscale image comprises palmprint information; filtering the grayscale image in N different directions through a preset filtering mode to obtain filtered images of the grayscale image in the N different directions, and performing fusionprocessing on the filtered images in the N different directions to obtain a first image, where N is an integer greater than 0; curvature information of each pixel point in the grayscale image in M different directions is acquired; according to the curvature information of each pixel point in the M different directions, a second image is obtained, and M is an integer greater than 0; and fusing thefirst image and the second image to obtain the target image, wherein the target image comprises texture feature information in the palmprint information. According to the invention, palm print texture features with high definition can be obtained.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a texture feature extraction method, a texture feature extraction device and a terminal device. Background technique [0002] Palmprint contains rich, stable and unique texture feature information, and the collection method of palmprint is relatively simple. Therefore, in technologies such as user identification, palmprint recognition has a great application prospect. [0003] However, the traditional method of extracting palmprint features using an adaptive threshold has high requirements on the definition of the palmprint image to be recognized, and the accuracy of information extraction is poor. Therefore, when extracting the palmprint texture, often due to the Due to the definition of the palmprint image and the limitations of the method itself, it is impossible to obtain a relatively complete palmprint texture with higher definition. Contents of the i...

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Problems solved by technology

[0003] However, the traditional method of extracting palmprint features using an adaptive threshold has high requirements on the definition of the palmprint image to be recognized, and the accuracy of information extraction is poor. Therefore, when extracting the palmprint texture, often due to the The definition of the palmprint image and the limitation of the method itself, but it is impossible to finally obtain a relatively complete palmprint texture with higher definition

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