System and method for recognizing handwritten fonts

A font recognition and recognition method technology, applied in character and pattern recognition, neural learning methods, instruments, etc., can solve the problems of being easily affected by the environment, unstable recognition rate, etc., and achieve low cost, short time, and robustness strong effect

Active Publication Date: 2019-11-05
SOUTHEAST UNIV
View PDF10 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: The purpose of the present invention is to provide a system and recognition method for handw

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
  • System and method for recognizing handwritten fonts
  • System and method for recognizing handwritten fonts
  • System and method for recognizing handwritten fonts

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The present invention will be further described below in conjunction with the accompanying drawings.

[0026] like Figure 1-2 As shown, for example, to realize the recognition of Chinese characters "dong", "nan", "da", and "xue", the system that can be used for handwritten font recognition includes:

[0027] (1) Flexible wearable bracelet

[0028] The flexible wearable wristband can realize the acquisition of wrist dynamic parameter information at three feature points during wrist bending movement through the change of sensor resistance. In order to realize the above functions, by placing The flexible pressure / deformation sensor realizes the acquisition of feature point information, thereby realizing the acquisition of dynamic parameters that characterize wrist movement.

[0029] The flexible wearable wristband consists of a pressure / deformation sensor 2, a VHB double-sided hydrogel flexible substrate layer 1 and an insulating encapsulation layer 3, in which the pres...

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 discloses a system and method for recognizing handwritten fonts. The system comprises a flexible wearable bracelet, a sensor signal obtaining and processing unit, and a convolutional neural network unit, and the flexible wearable bracelet is electrically connected with the sensor signal obtaining unit and the convolutional neural network unit. Handwritten font recognition based on the flexible wearable wristband eliminates the problems of ambient light and resolution, and is more stable and lower in cost; by means of the convolutional neural network, the handwritten fonts are recognized through the trained model, the time consumption is short, the recognition rate is high, and the robustness is higher; according to the method, the output layer structure can be flexibly modified, and the method can be suitable for various specific occasions through transfer learning.

Description

technical field [0001] The invention relates to a font recognition device, in particular to a system and a recognition method for handwritten font recognition. Background technique [0002] The earliest character recognition originated in the United States in the early 1950s. As an extremely important part of industrial applications, the development of character recognition has always attracted attention. [0003] At present, character recognition mainly uses optical character recognition (OCR). The general process is: check the characters on the paper through electronic devices (scanners, cameras, etc.), use specific binarization to process black and white images, and then denoise the documents. Slant correction, layout analysis of the navigation picture by segment and row, and then character segmentation, input the segmented single character into a specific character recognition program such as convolutional neural network, SVM support vector machine, etc., and finally out...

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
IPC IPC(8): G06K9/68G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/28G06V30/2455G06N3/045
Inventor 段升顺张志恒吴俊
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap