Fusion method of multiple character identification results

A technology of character recognition and fusion method, which is applied in the field of fusion of multi-character recognition results, and can solve problems such as difficulty in correction.

Inactive Publication Date: 2014-08-20
EAST CHINA NORMAL UNIV
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For single-character recognizer recognition results, if the wrong result is caused by a character segmentation error of the character, it is difficult to correct whether it is based on rules or statistics

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
  • Fusion method of multiple character identification results
  • Fusion method of multiple character identification results
  • Fusion method of multiple character identification results

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be further described in detail in conjunction with the following specific embodiments and accompanying drawings. The process, conditions, experimental methods, etc. for implementing the present invention, except for the content specifically mentioned below, are common knowledge and common knowledge in this field, and the present invention has no special limitation content.

[0045]The present invention confirms the most likely correct characters among the difference parts of multiple character strings through the statistical model of the character recognition results, so as to select the path of the optimal link and achieve a good recognition effect. The invention is applicable to the recognition of Chinese and English characters in images, and is especially suitable for the recognition of Chinese addresses including Chinese, English and numbers. Such as figure 1 As shown, the fusion method of the multi-character recognition result of the pre...

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 fusion method of multiple character identification results. The fusion method comprises the steps that at least two strings are obtained from at least two character identifiers, and each string comprises multiple characters; identical characters in the two strings are aligned via an optimal alignment algorithm based on a minimal editing distance; all the strings are aligned according to the identical characters, i.e., the identical characters in the multiple strings are aligned; segmentation is carried out according to the aligned identical characters in the multiple strings to obtain segmental aligned links; and an optimal link path is selected from the segmental aligned links to obtain a fusion result. The method determines a result which is most probable to be correct in multiple different identification parts by utilizing a statistical model based on characters, thereby selecting the optimal link path, and achieving a good effect.

Description

technical field [0001] The invention relates to character recognition technology, in particular to a fusion method of multi-character recognition results. Background technique [0002] Automatic mail sorting is an important part of postal automation. Among them, there is an automatic mail sorting technology that collects mail images to segment the postal code area and address area of ​​​​the mail recipient, and recognizes numbers and Chinese characters on the segmentation results. According to The recognition results are automatically sorted. Therefore, the correct identification of mail addresses is an important basis for correct sorting. [0003] In practical applications, the address area of ​​the mail is not clear enough, etc., often brings many errors to the recognition results of the character recognizer, mainly in the following two types: one is that the character segmentation of the address block is correct, but because of the accuracy of the first word recognition ...

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): G06K9/00G06K9/20
Inventor 吕岳陈圣昌吕淑静
Owner EAST CHINA NORMAL 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