Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Pattern recognition process, computer program product and mobile terminal

a technology of pattern recognition and recognition process, applied in the field of pattern recognition process, can solve the problem that the recognition process cannot recognize text written in a limited number of fonts, and achieve the effect of reliable confidence levels

Inactive Publication Date: 2013-02-14
I R I S
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The present invention aims to provide a pattern recognition process that can reliably identify a large number of fonts without being limited to a restricted number. Additionally, it should be small and fast enough to be embedded into a digital copier or used in a mobile terminal. Instead of using a decision tree, the invention describes a method to accelerate the calculation of distances between reliable patterns and pattern templates without compromising accuracy.

Problems solved by technology

On the other hand, some character recognition processes are based on template matching but those character recognition processes can only recognize text written in a limited number of fonts.

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
  • Pattern recognition process, computer program product and mobile terminal
  • Pattern recognition process, computer program product and mobile terminal
  • Pattern recognition process, computer program product and mobile terminal

Examples

Experimental program
Comparison scheme
Effect test

first embodiment

[0061]In a first embodiment, a template contains the bitmap of a character which has been normalized to a predefined width and height. Reliable bitmaps can be generated during the character recognition process by using the same operations than for the examined character.

second embodiment

[0062]In a second embodiment, a template contains pre-calculated reliable bitmaps by using the same operations than for the examined character.

third embodiment

[0063]In a third embodiment, the reliable bitmaps contain pre-calculated reliable bitmaps but by aggregating different examples of character bitmaps. This can be done to reduce the number of templates. For example, a normal and bold version of a character can be in the same template.

Distance Calculation Between the Examined Character and a Template.

[0064]An embodiment of the distance calculation step 204 is shown in FIG. 5. Templates are selected in steps 501, 502 and XOR operations 503 are performed between reliable bitmaps of the examined character and reliable bitmaps of the template.

[0065]In particular, the XOR operations are performed between the reliable bitmaps of black pixels and the reliable bitmaps of white pixels. The number of ON pixels in the result is used to calculate a distance in step 504.

[0066]In the preferred embodiment, if:

[0067]A1b is the first reliable bitmap of black pixels of the examined character;

[0068]A1w is the first reliable bitmap of white pixels of the...

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

Pattern recognition process that includes, starting from an input pattern: normalization of the input pattern into a normalized pattern of predetermined size; generation of a reliable pattern from the normalized pattern by using at least one morphological operator; calculation of a distance between the reliable pattern and selected templates which are selected from a template library; classification of the reliable patterns into at least one of the classes of the selected templates by means of at least one non-parametric classification method, which uses the classes of the selected templates and the calculated distances as inputs and outputs identified classes along with confidence levels.

Description

CROSS-REFERENCE TO RELATED APPLICATION[0001]This application is a utility application and claims priority from U.S. Provisional Application No. 61 / 522,274 filed Aug. 11, 2011, the entirety of which is hereby incorporated by reference.TECHNICAL FIELD[0002]The present invention relates to a pattern recognition process. The present invention further relates to a computer program product for carrying out said pattern recognition process and a mobile terminal provided with said pattern recognition process in a format executable on the mobile terminal.BACKGROUND ART[0003]Optical Character Recognition (OCR) systems are known in the art. They convert the image of printed text into machine-readable code by using a character recognition process. In an OCR system, the images of what could be characters are isolated and a character recognition process is used to identify the character.[0004]A character recognition process, such as the one shown in FIG. 1, comprises generally:[0005](a) A feature...

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): G06K9/68G06V30/168G06V30/10
CPCG06K9/6282G06K9/44G06V30/10G06V30/168G06V30/19173G06F18/24323
Inventor DE MUELENAERE, PIERREDAUW, MICHELDUPONT, OLIVIERVERLEYSEN, PATRICK
Owner I R I S
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com