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

Language identification method and device, terminal equipment and computer readable storage medium

A language recognition and language technology, applied in the field of artificial intelligence and computer vision, can solve problems affecting the accuracy of language recognition, and achieve the effect of avoiding inaccurate recognition and improving accuracy

Active Publication Date: 2020-04-17
HUAWEI TECH CO LTD
View PDF6 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, for languages ​​that use the same or similar characters, using the above method for recognition will result in a large number of ambiguous images, which will affect the accuracy of language recognition

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
  • Language identification method and device, terminal equipment and computer readable storage medium
  • Language identification method and device, terminal equipment and computer readable storage medium
  • Language identification method and device, terminal equipment and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0061] The terms used in the following examples are for the purpose of describing particular examples only, and are not intended to limit the application. As used in the specification and appended claims of this application, the singular expressions "a", "an", "said", "above", "the" and "this" are intended to also Expressions such as "one or more" are included unless the context cle...

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 is suitable for the field of terminal artificial intelligence and the technical field of corresponding computer vision, and provides a language recognition method and a device, terminalequipment and a computer readable storage medium. The method comprises the steps that a to-be-recognized text line image is acquired, and the to-be-recognized text line image comprises a to-be-recognized text; inputting the text line image to be recognized into a trained language recognition model, obtaining the language of the text to be recognized; wherein the language identification model is used for determining the language of the to-be-identified text according to the to-be-identified text line image, and if the language is a language family language comprising multiple languages, takingthe language corresponding to the language rule in the language family language as the language of the to-be-identified text according to the language rule of the to-be-identified text. The language is recognized based on the language rule, the problem of inaccurate recognition caused by ambiguity of the same or similar characters is avoided, and the accuracy of language recognition is improved.

Description

technical field [0001] The present application belongs to the technical field of artificial intelligence (AI) and computer vision, and in particular relates to a language recognition method, device, terminal equipment and computer-readable storage medium. Background technique [0002] With the continuous development of character recognition technology, in the process of character recognition, not only Chinese can be recognized, but also characters in other languages ​​can be recognized. In order to improve the accuracy of character recognition in different languages, the language corresponding to the character to be recognized may be recognized first. [0003] In related technologies, the image of a text line can be sampled through a sliding window to obtain multiple image blocks, and input the multiple image blocks into a convolutional neural network for recognition to obtain the languages ​​corresponding to the multiple image blocks, and finally recognize the obtained The...

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): G06K9/20G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/22G06N3/045G06F18/24
Inventor 蒲勇飞罗俊颜朱丽飞王志远施烈航黄健超
Owner HUAWEI TECH CO LTD
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