Visualized reproduction method based on handwriting image

A calligraphy and image technology, applied in instruments, character and pattern recognition, digital output to display devices, etc., can solve problems such as large amount of calculation

Inactive Publication Date: 2007-07-11
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The extraction of stroke order has been widely concerned as a key research direction in text recognition. As early as 1996, the IEEE 13th International Conference on Pattern Recognition (Proc.13th Int'l Conf.Pattern Recognition, pp.150-154 ) in the published method first assumes that the minimum curvature is used in the handwriting writing process, and then converts the problem into a traveler’s problem to complete the extraction of stroke order. limitations; some scholars proposed to extract the stroke order based on the connectivity information of the skeleton, such as in the 22nd volume of the Journal of Pattern Analysis and Machine Learning in 2000 (IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINEINTELLIGENCE, VOL. , pp.938-949, SEPTEMBER 2000) announced a method for extracting the stroke order of a completed handwritten character image. The method is first marked according to the properties of the upper side of the skeleton, and then by using the marked information to map the graph from the starting point to the ending point Tracking to restore timing information, this method requires a labeling process, and the amount of calculation is relatively large

Method used

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  • Visualized reproduction method based on handwriting image
  • Visualized reproduction method based on handwriting image
  • Visualized reproduction method based on handwriting image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Figure 3(a) is the input original calligraphic text image "jing"

[0056] 1) First, the contour is extracted from the text image, and the result of contour extraction is shown in Figure 3(b).

[0057] 2) Apply the thinning algorithm to the outline of the text. When thinning, the thick line in the outline is peeled off layer by layer, and finally the skeleton information with a width of only one pixel is obtained. The thinning result is shown by the dotted line in Figure 3(c). Show.

[0058] 3) According to the skeleton information, it can be obtained that the text consists of 4 subgraphs. In Figure 3(c), green, blue, and orange are used respectively, and g 1 , g 2 , g 3 To represent. After using the font structure analysis algorithm on the 3 subgraphs, the following results are obtained:

[0059] subgraph

R h

R v

g 1 -g 2

0

1

g 1 -g 3

1

0

g 2 -g 3

1

0

[0060...

Embodiment 2

[0066] Figure 5(a) is the input original calligraphy text image "Qing"

[0067] 1) The first step is to extract the outline of the text image, and the result of outline extraction is shown in Figure 5(b).

[0068] 2) Apply the thinning algorithm to the text outline. When thinning, the thick lines in the outline are peeled off layer by layer, and finally the skeleton information with a width of only one pixel is obtained. The thinning result is shown in Figure 5(c).

[0069] 3) According to the skeleton information, it can be obtained that the text consists of 4 sub-graphs. In Figure 5(d), green, blue, purple, and orange are used respectively, and g is used respectively. 1 , g 2 , g 3 , g 4 To represent. After using the font structure analysis algorithm on the 4 subgraphs, the following results are obtained:

[0070] subgraph

R h

R v

g 1 -g 2

0

1

g 1 -g 3

0

1

g 1 -g 4

1

0

...

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PUM

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Abstract

A video reproduction method based on calligraphy image to generate animation sequence, features in the calligraphy words graphics to extract profiles to apply to fine algorithm to get the frame structure of the word, through word structure analysis for radical section, extracting strokes based on smoothness of each radical, combining with writing rules to complete the extraction of the overall words, then extracting the profile biggest surrounding algorithm and reproduce the visual writing process based on the play engine strokes and pen width through the customer end play module. It has great creativity, with higher application value of computer assisted teaching, video production and so on.

Description

technical field [0001] The invention relates to the technical field of computer images and three-dimensional animation, in particular to a visual reproduction method based on calligraphy images. Background technique [0002] Chinese calligraphy is an important manifestation of Chinese culture, providing a new method for people to understand and be familiar with Chinese calligraphy more deeply, especially to let the art of Chinese calligraphy go out to the world, let the world understand the art of Chinese calligraphy and fall in love with the art of calligraphy, Not only the patent or privilege that makes her a calligrapher has important social and academic significance. [0003] At present, the application development of calligraphy has attracted the attention of many researchers, but the visual reproduction of calligraphy images is still a blank area. The contour extraction algorithm published in Modern Digital Image Processing (Mettle et al.) can obtain contour informati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/68G06F3/14
Inventor 潘云鹤庄越挺吴英飞
Owner ZHEJIANG UNIV
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