An Image Recognition Method and Device Based on Robust Feature Extraction

Abstract

The invention discloses an image recognition method and device based on robust feature extraction. By performing discriminative learning on original training samples, the topology between image pixels can be effectively maintained while compacting local intra-class divergence and separating local inter-class divergence. structure, design a feature learning framework based on the 1-norm metric, which can output a projection matrix that can be used for in-sample and out-of-sample image feature extraction, and then obtain the two-dimensional robust features of the original training samples through the projection matrix, and construct a model that can be used to treat A nearest neighbor classifier for classifying test samples. It can be seen that the above scheme provided in this application does not need to convert the two-dimensional matrix corresponding to the image into a high-dimensional vector space, but can directly act on the image, thus not only effectively maintaining the topological structure and intrinsic correlation between image pixels , and can effectively reduce the complexity of the model calculation process. Furthermore, based on the 1-norm metric, robustness to noise is ensured during feature extraction.

Description

technical field [0001] The present invention relates to the technical fields of computer vision and image recognition, and more specifically, to an image recognition method and device based on robust feature extraction. Background technique [0002] In this information age with rapid development and rapid changes, the development of science and technology is in full swing, and the importance of data and information is becoming more and more obvious in this process. Among them, data images are almost ubiquitous in human daily life, and the demand for accurate identification in many industries has become greater and greater, which has greatly promoted the progress and development of image recognition technology. So far, image recognition has developed into an extremely important research topic in computer vision and pattern recognition. Image recognition technology is to digitize images through computers, thereby completing data analysis and feature extraction, so as to reali...

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Problems solved by technology

[0005] The purpose of the present invention is to provide an image recognition method and device based on robust feature extraction, to extract discriminant features based on matrix description, which can directly act on images, so as to solve the problem of image pixel destruction existing in image processing in the prior art The topological structure between, and the calculation process is more complicated in the high-dimensional data space

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