Technique for correcting character-recognition errors

A character recognition and error technology, applied in character recognition, character and pattern recognition, data processing applications, etc., can solve problems such as errors, character recognition technology conversion is not perfect, and increase costs

Active Publication Date: 2010-03-31
INTUIT INC
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Unfortunately, the transformations performed by most character recognition techniques are imperfect and there is always a finite probability of error
These errors can significantly complicate and increase the cost of subsequent processing of the extracted information

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
  • Technique for correcting character-recognition errors
  • Technique for correcting character-recognition errors
  • Technique for correcting character-recognition errors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The following description is provided to enable any person skilled in the art to make and use the invention, where it is presented in the context of a particular application and its requirements. Various modifications to the disclosed embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the invention. Thus, the intention is not to limit the invention to the embodiments shown, but to accord it the widest scope consistent with the principles and features disclosed herein.

[0020] Embodiments of computer systems, methods, and computer program products (eg, software) for use with computer systems are described. These embodiments can be used to identify and correct errors in financial information that has been extracted using character recognition software, such as OCR software and / or ICR software. Specifically, by compa...

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

Embodiments of a computer system, a method, and a computer-program product (e.g., software) for use with the computer system are described. These embodiments may be used to identify and correct errorsin financial information that was extracted using character-recognition software, such as optical character recognition software and/or intelligent character recognition software. In particular, potential errors may be identified by comparing the financial information for a current financial transaction of a user with expected financial information from one or more previous financial transactionsof the user. Error metrics for these potential errors may be determined and used to correct at least some of the potential errors. For example, values of the Levenshtein edit distance may be determined based on the comparison, and one or more potential errors associated with one or more minimum values of the Levenshtein edit distance may be corrected.

Description

technical field [0001] The present invention relates to techniques for correcting errors that may occur when character recognition operations are performed on documents. Background technique [0002] Character recognition techniques are widely used to extract information in documents by converting data in an original format, such as bitmap, to another format, such as ASCII. For example, Optical Character Recognition (OCR) is commonly used to convert printed text to corresponding numerical values, while Intelligent Character Recognition (ICR) is commonly used to convert handwritten text to corresponding numerical values. [0003] Unfortunately, the conversions performed by most character recognition techniques are imperfect and there is always a finite probability of error. These errors can significantly complicate and increase the cost of the subsequent processing of the extracted information. Contents of the invention [0004] One embodiment of the invention provides a ...

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): G06K9/03G06K9/00G06V30/10G06V30/12G06V30/262
CPCG06K9/03G06Q40/12G06K9/72G06Q40/10G06V30/10G06V30/262G06V30/12G06V10/98
Inventor W·T·拉瑟R·加尼桑J·A·施内德
Owner INTUIT INC
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