Automatic recognition method and recognition device for sealed fonts

An automatic recognition and seal technology, applied in character recognition, digital ink recognition, character and pattern recognition, etc., can solve the problems of difficulty in ensuring accuracy, low efficiency of seal font recognition, etc., and achieve the effect of efficient and accurate automatic recognition.

Inactive Publication Date: 2017-10-24
盛世贞观(北京)科技有限公司
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method and device for automatic identification of seal fonts, so as to s

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
  • Automatic recognition method and recognition device for sealed fonts
  • Automatic recognition method and recognition device for sealed fonts
  • Automatic recognition method and recognition device for sealed fonts

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Next, preferred embodiments of the present invention will be described in detail. Examples of these preferred embodiments are illustrated in the accompanying drawings. The embodiments of the present invention shown in the drawings and described based on the drawings are merely exemplary, and the technical spirit of the present invention and its main operations are not limited to these embodiments.

[0039] Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the structures and / or processing steps that are closely related to the solution according to the present invention are shown in the drawings, while those related to the present invention are omitted. Other details are not relevant to the invention.

[0040] The inventors found that the deep learning technology has extremely strong self-learning ability and highly non-linear mapping, thus providing the possibility to design complex automatic recogniti...

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 an automatic recognition method and recognition device for sealed fonts. Sealed font authors are classified and judged by using strong learning capacity of a deep learning multilayer convolutional neural network via the multilayer convolutional neural network and a plurality of fully connected layers, and real authors of the sealed fonts can be directly recognized every time. An artwork sealed font recognition model having high speed and high precision can be trained by using the image expressions of sealed fonts of mass real authors. The method effectively solves the problem of automatic recognition of sealed fonts under the complex background, and can be widely applied to artwork sealed font recognition scenes, such as personal collection sealed font identification, library collection identification, auction identification and the like.

Description

technical field [0001] The invention relates to the fields of machine learning, computer vision and pattern recognition, in particular to an automatic recognition method and a recognition device for artwork seal fonts. Background technique [0002] Nowadays, a large number of works of art in society use seals to identify authors, while traditional seal identification methods mainly rely on human experience, and the recognition accuracy varies from person to person, and the recognition efficiency is very low. In this context, there is an urgent need for an efficient and accurate method for automatically identifying seal fonts. Contents of the invention [0003] The object of the present invention is to provide a method and device for automatic recognition of signature fonts, so as to solve the problems of low efficiency and difficulty in ensuring the accuracy of signature font recognition in the prior art. The present invention uses image expression to describe the seal fo...

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): G06K9/00G06N3/08
CPCG06N3/084G06V30/333G06V30/10
Inventor 吕洪凤盛冬冬冯军
Owner 盛世贞观(北京)科技有限公司
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