Unlock instant, AI-driven research and patent intelligence for your innovation.

Physical examination sheet identification method and system based on deep neural network

A technology of deep neural network and recognition method, which is applied in the field of medical examination form recognition method and system based on deep neural network, can solve problems such as the difficulty of recognizing handwritten numbers and handwritten Chinese characters, and achieve improved filling recognition rate, high recognition rate, and fast efficiency Effect

Pending Publication Date: 2020-11-06
上海瑞美锦鑫健康管理有限公司
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a method and system for identifying medical checklists based on deep neural networks, aiming to solve the technical problem of difficulty in identifying handwritten numbers and handwritten Chinese characters in the prior art

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Physical examination sheet identification method and system based on deep neural network
  • Physical examination sheet identification method and system based on deep neural network
  • Physical examination sheet identification method and system based on deep neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0037] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0038] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention.

[0039] see figure 1 , the present invention provides a kind of medical checklist recognition method based on de...

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

No PUM Login to View More

Abstract

The invention provides a physical examination sheet recognition method and system based on a deep neural network. The method comprises the steps of carrying out the image scanning of a paper physicalexamination sheet completing a physical examination item, and obtaining a physical examination sheet image, preprocessing the physical examination sheet image; obtaining a target area image of the preprocessed physical examination image; performing character recognition on the target area image by using the trained convolutional recurrent neural network, and outputting a recognition result; and generating an electronic physical examination sheet according to the identification result. The convolutional recurrent neural network comprises a convolutional layer, a recurrent layer and a transcription layer, the convolutional layer uses the convolutional neural network, the recurrent layer uses the recurrent neural network, and the transcription layer uses a connection time sequence classification algorithm to calculate loss. The method is advantaged in that the recognition rate of filling in physical examination items is improved, and the method is low in cost, high in efficiency and widein application.

Description

technical field [0001] The present invention relates to the technical field of identification, in particular to a method and system for identifying physical examination sheets based on a deep neural network. Background technique [0002] Physical examination sheet recognition in the prior art is usually based on OCR contour recognition, and OCR recognition cannot solve the recognition of handwritten numbers and handwritten Chinese characters. A technique is needed to solve the problem of difficult to recognize handwritten characters. Contents of the invention [0003] The present invention provides a method and system for identifying medical checklists based on a deep neural network, aiming to solve the technical problem of difficulty in identifying handwritten numbers and handwritten Chinese characters in the prior art. [0004] A method for identifying a medical checklist based on a deep neural network, comprising the following steps: [0005] Step A1, image scanning i...

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
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/62G06V30/153G06N3/047G06N3/045G06F18/241G06F18/2415
Inventor 丁洋洋
Owner 上海瑞美锦鑫健康管理有限公司