Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Automatic identification system and method of handwriting Chinese character

An automatic recognition system and pen body technology, applied in character and pattern recognition, instruments, electrical digital data processing, etc., to achieve the effects of real-time storage, long storage time, and high recognition accuracy

Inactive Publication Date: 2012-07-04
SHANGHAI UNIV
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, at present, many companies in China are working on the development of handwriting identification systems and have achieved some results, but none have been put into use.

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
  • Automatic identification system and method of handwriting Chinese character
  • Automatic identification system and method of handwriting Chinese character
  • Automatic identification system and method of handwriting Chinese character

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Embodiment one: see figure 1 , the handwriting automatic recognition system includes an EMB-4650 main board controlled by an Intel® Atom Z510P chip, and its extended sub-interfaces include LVDS interface, DVI interface, USB interface and COM interface; Screen, DVI-LVDS signal conversion board, USB controller, and GSM module are connected; thus the DVI-LVDS signal conversion board is connected to another AUO display screen, and the USB controller is connected to the touch screen. When the user writes data on the touch screen, the data is transmitted to the EMB-4650 main board through the USB controller, and the EMB-4650 main board transmits the data to the display screen to realize real-time display; at the same time, the EMB-4650 main board performs a recognition algorithm on these data processing, and then send the processed results to the display screen to achieve the effect of simple human-computer interaction and real-time operation. If necessary, the edited font d...

Embodiment 2

[0027] Embodiment two: see figure 2 , the realization method of the automatic handwriting automatic recognition system adopts the above-mentioned system for recognition, and the specific operations include the following steps:

[0028] Step 1: Input of handwriting data: According to the different working principles of the touch screen, it can be divided into surface acoustic wave touch screen, resistive touch screen, capacitive touch screen, infrared touch screen and so on. The touch screen used in the present invention is a resistive touch screen. The resistive touch screen is installed on the surface of the display, mainly composed of two transparent conductive layers, and the two conductive layers are insulated. From the perspective of electrical characteristics, each conductive layer is equivalent to a resistance element, and a corresponding relationship between the plane position and the voltage drop can be established by applying a voltage across the conductive layer. ...

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 relates to an automatic identification system and a method of a handwriting Chinese character. The system comprises an EMB-4650 main board, wherein expanded sub-interfaces of the EMB-4650 main board are a low voltage differential signaling (LVDS) interface, a digital video interactive (DVI) interface, a universal serial bus (USB) interface and a computer-output microfilm (COM) interface which are respectively connected with an AUO display screen, a DVI-LVDS signal converting board, a USB controller and a global system for mobile communication (GSM) module. The DVI-LVDS signal converting board is connected with another AUO display screen, and the USB controller is connected with a touch screen. The identification method comprises the steps of (1) inputting handwriting Chinese character data, (2) preprocessing the handwriting Chinese character data, (3) extracting shape features of the handwriting Chinese character data, and (4) identifying the handwriting Chinese character data. By means of the automatic identification system and the method of the handwriting Chinese character, a novel polar coordinate feature recognition method with font centroid as a reference point. Users can record, store and send important information in real time by utilizing a handwriting mode, thereby achieving the matching between handwriting Chinese characters and handwriting Chinese characters. The system integrates high confidentiality and high-speed transmission and is suitable for intelligence agents to collect and screen the important information.

Description

technical field [0001] The invention relates to a method for automatically extracting note features by using a computer, and develops a handwriting automatic recognition system and method, which uses an image segmentation algorithm and a discriminant algorithm based on statistical features to search and extract handwriting. This handwriting identification method can be widely used. Applied in finance, law and other fields. Background technique [0002] Handwriting is a fairly stable behavioral characteristic, different people have different handwriting, and handwriting is easy to obtain. With the rapid development of information digitization, handwriting recognition has become an active research topic in the fields of computer vision and pattern recognition. As we all know, literature experts can identify the authenticity of handwriting, but it is still difficult for a computer to automatically extract handwriting features and identify its authenticity, especially for a sma...

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): G06F3/041G06K9/60
Inventor 薛雷何金胜袁苑何星剑张丽
Owner SHANGHAI 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
Eureka Blog
Learn More
PatSnap group products