Image classification method and device
A classification method and image technology, applied in the field of data processing, can solve problems such as high labor costs, increased enterprise operating costs, heavy work of image classification and recognition, and achieve the effect of reducing labor costs and high accuracy
Active Publication Date: 2022-02-25
BEIJING GRIDSUM TECH CO LTD
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Problems solved by technology
[0004] It can be seen that the work of classification and recognition of images is very heavy, and the efficiency of manual processing is not high
For enterprises, it is also necessary to hire employees to perform the corresponding work, and the labor cost is also high, which increases the operating cost of the enterprise
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[0044] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0045] The embodiment of the invention discloses an image classification method, which can realize image classification. Especially for document images, the accuracy rate is higher. The core idea of the present invention is to automatically classify the images to be classified by using the image classification model trained by using the deep network features of the images and the shallow text features to obtain accurate image cla...
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The present invention provides an image classification method and classification device. The method first determines the image to be classified; then inputs the feature vector of the image to be classified into an image classification model; the feature vector is used to represent the image to be classified Deep network features and shallow text features of the image; wherein, the image classification model is a machine learning model obtained after the feature vectors obtained after processing the deep network features and shallow text features of the image to be trained; finally obtain The classification result of the category to which the image to be classified is output by the image classification model. It can be seen that the present invention changes from manual classification to machine automatic identification and classification, which greatly improves the processing efficiency and reduces labor costs at the same time. Moreover, the classification model in the technical solution of the present invention is obtained after training based on the deep network features of the image and the feature vectors processed by the shallow text features, so the classification result for document images is more accurate.
Description
technical field [0001] The invention relates to the technical field of data processing, in particular to an image classification method and device. Background technique [0002] Due to the needs of enterprise management, enterprises usually save many types of images, especially document images such as procedures, certificates, and certificates. After the enterprise collects the above-mentioned document images, it needs to classify them, and then perform follow-up processing such as archiving and saving. [0003] In the prior art, various types of images are manually classified and identified based on experience to obtain the type of the image, and then archiving and other work are performed. [0004] It can be seen that the work of classifying and recognizing images is very heavy, and the efficiency of manual processing is not high. For enterprises, it is also necessary to hire employees to perform the corresponding work, and the labor cost is also high, which increases th...
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IPC IPC(8): G06V20/62G06V10/764G06K9/62
CPCG06V20/63G06V30/10G06F18/2413
Inventor 戴威
Owner BEIJING GRIDSUM TECH CO LTD