Multi-level neural network based characters identification method and system

a neural network and character identification technology, applied in the field of methods and systems, can solve the problems of limited number, limited application, and no system in use today includes a method for verification and control of information retrieved, and achieve the effect of fast and reliable methods

Inactive Publication Date: 2006-06-08
HI TECH SOLUTIONS
View PDF29 Cites 44 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0014] Therefore it is an object of the present invention to provide fast and reliable methods to enable read and decipher characters on site. It is a fu

Problems solved by technology

The main drawback of this method, and several others in the field, which limits application considerably, relates to the limited number of identifying marks recognized and processed by the method.
Additionally, none of the systems in use today include a method for verification and control of the information retrieved to assess whether the identification is indeed accurate.
This lack of inspection and verification greatly question the credibili

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
  • Multi-level neural network based characters identification method and system
  • Multi-level neural network based characters identification method and system
  • Multi-level neural network based characters identification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In the detailed description of exemplary embodiments which follows, the following terms should be generally be understood as specified in FIG. 1a unless otherwise specified:

[0047] Original image 14—the initial image captured and sent by recognition system to identification program. All identification steps and actions will be carried out on the initial image as will be shown later on. For example initial images of container code number pictured by container code recognition system. An example of real original image 14 of a container chassis is shown in FIG. 1b.

[0048] Candidate areas 3—areas, which possibly contain target area 1.

[0049] Characters 2—characters needed to be identified located in target area 1.

[0050] Data-Format 9 (not shown)—includes all data for initializing and processing original image.

[0051] ROI 11—Rectangle Of Interest, which contain characters only.

[0052] Target area 1—area that includes characters 2 needed to be identified.

[0053] SF 5 (Structure fo...

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

A system and method, which enable precise and automatic identification of characters, perform and calibrate data verification to ensure data reliability. The system can process these identified characters, such as override adverse conditions, adjusting and correcting unclear characters and their images.

Description

FIELD OF THE INVENTION [0001] The present invention relates generally to a method and system for providing automatic characters recognition. More specifically, the present invention relates to a multi-level neural network based characters identification method and system. BACKGROUND OF THE INVENTION [0002] Systems based on character recognition are widely used in both home and office functions. For example scanners, which reads printed text and translate the image being scanned to a form of data, the computer is able to process (such as ASCII code, for example). Character recognition systems include an optical camera for photographing images, and sophisticated software for analyzing images. The arising need for identifying and analyzing text, characters or other signifying marks on a variety of products, vehicles and aircrafts led to the character recognition system expansion and the system being put to use in different areas of interest. [0003] An operative system at the entrance t...

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): G06F17/00G06KG06V30/224
CPCG06K9/3258G06K9/3283G06K9/6814G06K9/6857G06K2209/15G06V20/63G06V30/1478G06V30/244G06V30/2504G06V20/625
Inventor HOFMAN, YORAMMARGOLIN, ALEXANDRA
Owner HI TECH SOLUTIONS
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