Image recognition method and device, computer equipment and storage medium
An image recognition and image technology, applied in the field of image recognition, can solve the problems of difficult data and training, and achieve the effect of reducing the difficulty of image recognition and shortening the development time
Pending Publication Date: 2020-07-14
SHENZHEN ZHUIYI TECH CO LTD
View PDF2 Cites 2 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the training of the deep learning model requires a large amount of labeled data, and a large amount of manually labeled data is often difficult to achieve; especially for documents involving personal privacy, the training of the deep learning model is even more difficult to achieve
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0059] In order to make the purpose, technical solution and advantages of the present application clearer, the present application 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 application, and are not intended to limit the present application.
[0060] The image recognition method provided by this application can be applied to such as figure 1 shown in the application environment. The application environment includes a terminal 101 . Wherein, the terminal 101 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers and portable wearable devices.
[0061] In one embodiment, such as figure 2 As shown, an image recognition method is provided, which is applied to figure 1 The terminal in is used as an example to illustrate, including the following steps:
[0062]...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to an image recognition method and device, computer equipment and a storage medium. The method comprises: matching an identification image with a pre-constructed reference imageto obtain a mapping relationship between the identification image and the reference image, wherein the mapping relationship is used for indicating a corresponding relationship between an identification object in the identification image and a reference object in the reference image; detecting the identification image according to a reference object in the reference image and the mapping relationship to obtain a target identification area in the identification image; performing character recognition on the target recognition area according to a preset optical character recognition model to obtain a target field in the target recognition area; and determining target text information in the recognition image according to the target field and the mapping relationship. Through the embodiment ofthe invention, the development time is shortened, and the development difficulty is reduced.
Description
technical field [0001] The present application relates to the technical field of image recognition, in particular to an image recognition method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of big data, many application scenarios need to collect a large amount of information in advance. For example, when collecting personal information, multiple ID photos can be identified to obtain the personal information in each ID photo, and then the extracted personal information can be aggregated together. [0003] In practical applications, deep learning models are usually used to identify relevant information from photos. However, the training of deep learning models requires a large amount of labeled data, and a large amount of manually labeled data is often difficult to achieve; especially for documents that involve personal privacy, the training of deep learning models is even more difficult to achieve. [0004] Therefo...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06K9/34G06K9/46G06K9/62
CPCG06V30/153G06V10/267G06V10/462G06V10/44G06F18/22
Inventor 陆昱夏晓玲万爽
Owner SHENZHEN ZHUIYI TECH CO LTD