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A color-distinguishing method for extracting handwritten Chinese characters

An extraction method, handwriting technology, applied in character recognition, digital ink recognition, character and pattern recognition, etc., to achieve the effect of increasing effectiveness and accuracy

Active Publication Date: 2019-01-25
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved in the present invention is to provide a color-differentiated handwritten Chinese character extraction method for the limitations and deficiencies of the prior art, so as to solve the problem of poor pertinence and low efficiency when the prior art recognizes handwritten Chinese characters with multiple colors. phenomenon, dedicated to increasing the effectiveness and accuracy of current computer-based recognition of multi-color handwritten Chinese characters

Method used

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  • A color-distinguishing method for extracting handwritten Chinese characters
  • A color-distinguishing method for extracting handwritten Chinese characters
  • A color-distinguishing method for extracting handwritten Chinese characters

Examples

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Embodiment 1

[0035] Embodiment 1: as Figure 1-4 As shown, a method for extracting handwritten Chinese characters with different colors is characterized in that: after obtaining a picture of handwritten Chinese characters with multiple colors, firstly carry out grayscale and binarization processing to remove redundant traces; then use mean filtering to remove Gaussian additive white noise, and then use binarization to remove the background information in the picture; then use the threshold approximation method to perform operations such as row segmentation and column segmentation on Chinese characters, and then perform single-character normalization and refinement processing on them, And perform feature extraction; finally, use the Mahalanobis distance formula to find the distance between the feature vector of the character to be recognized and the feature vector of the character in the standard handwriting sample database, and select the character recognition output with the smallest corre...

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Abstract

The invention relates to a color-distinguishing method for extracting handwritten Chinese characters, belonging to the technical field of image word processing. After obtaining pictures of handwrittenChinese characters with multiple colors, the invention firstly performs grayscale treatment and binarization treatment to remove redundant traces; then the Gaussian additive white noise in the imageis removed by mean filter and the background information in the image is removed by binarization. Then, the Chinese characters are segmented into rows and columns by using the threshold approximationmethod, and then the single character is normalized and thinned, and the features are extracted. Finally, the distance between the eigenvector of the character to be recognized and the eigenvector ofthe character in the standard handwriting sample database is calculated by using the Markov distance formula, and the character recognition output with the smallest corresponding distance is selected.The present invention increases the validity and accuracy of computer-based recognition of handwritten Chinese characters with multiple colors.

Description

technical field [0001] The invention relates to a color-differentiated handwritten Chinese character extraction method, which belongs to the technical field of image word processing. Background technique [0002] When primary and middle school students do their homework, the teacher corrects a relatively good composition. Parents think it is valuable for preservation, so they want to make it into an electronic file. If the manual operation is used, it is not only inefficient but also error-prone. If computer technology can be used to remove the traces of the teacher's corrections in the composition and identify it and save it as an electronic file, it will have great practical and practical significance. [0003] At present, to remove redundant traces on pictures, mainly rely on Photoshop technology, which is time-consuming and cumbersome, and has strict requirements on personal operation ability, so it has not become popular on a large scale. With an intelligent approach, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/62
CPCG06V30/333G06V30/347G06V30/36G06V10/267G06V30/10G06F18/22
Inventor 彭艺尹玉梅祁俊辉
Owner KUNMING UNIV OF SCI & TECH
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