Offline handwritten Chinese character cognition method based on dual-tree complex wavelet transform

A double tree complex wavelet and Chinese character technology, applied in the field of Chinese character recognition

Inactive Publication Date: 2016-08-03
HEFEI UNIV OF TECH
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Problems solved by technology

[0005] In order to overcome the defects of the existing Chinese character recognition technology, the present invention proposes an off-line handwritten Chinese character recognition method based on dual-tree complex wavelet transform, in order to solve the existing open-loop off-line handwritten Chinese character recognition model when faced with diff

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  • Offline handwritten Chinese character cognition method based on dual-tree complex wavelet transform
  • Offline handwritten Chinese character cognition method based on dual-tree complex wavelet transform
  • Offline handwritten Chinese character cognition method based on dual-tree complex wavelet transform

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Embodiment Construction

[0049] In the present embodiment, a kind of off-line handwritten Chinese character cognition method based on dual-tree complex wavelet transform is carried out according to the following steps:

[0050] Step 1. Analysis of cognitive needs of off-line handwritten Chinese character strokes

[0051] Step 1.1, such as Figure 4 As shown, the Chinese characters "Cu, Chu, Chuan, Chuan, Chuan, Chuan, Building, Bed, Chuang, Chun" in the GB23122-80 standard simplified Chinese character library were selected for experimental research, and 15 characters with different writing styles were selected for each Chinese character. samples of handwritten Chinese characters, a total of 150 samples of handwritten Chinese characters; each Chinese character is selected by random sampling method, and 10 Chinese characters (total of 100 Chinese characters) in each Chinese character sample set are selected as training samples, and the remaining 5 Chinese characters (total of 50 Chinese characters) as ...

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Abstract

The invention discloses an offline handwritten Chinese character cognition method based on dual-tree complex wavelet transform. The method is characterized by comprising the following steps: 1, offline handwritten Chinese character stroke cognition needs are analyzed; 2, an initial feature model for the offline handwritten Chinese character is built; 3, candidate sub space for the offline handwritten Chinese character is built; 4, an integrated classifier model for the offline handwritten Chinese character is designed; and 5, the cognition result for an offline handwritten Chinese character sample is evaluated and according to the evaluation result, a non-cognized offline handwritten Chinese character is cognized repeatedly. An optimal cognition model for a specific test sample is built in feedback iteration, the defect that a cognition model for an open-loop without-feedback offline handwritten Chinese character cognition system is fixed can be solved, and the cognition precision of the offline handwritten Chinese character cognition system is improved.

Description

technical field [0001] The invention belongs to the technical field of Chinese character recognition, and in particular relates to an off-line handwritten Chinese character recognition method based on double-tree complex wavelet transform. Background technique [0002] Chinese character recognition is an important research field of pattern recognition, and it has a wide range of applications in technical fields such as office and teaching automation, automatic recognition of bank notes, and language and text information processing. At present, the research on the feature extraction method of Chinese characters includes academic papers that have made in-depth theoretical analysis, and engineering methods for practical application, such as the invention patent "Chinese Character Recognition Method and Device" (CN102867178A) and the invention patent "Based on Identification and Return Yihua's Handwritten Chinese Character Recognition Method" (CN102831434A). [0003] Chinese In...

Claims

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Application Information

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IPC IPC(8): G06K9/52G06K9/62
CPCG06V10/52G06V30/287G06F18/241
Inventor 李帷韬王光新宋程楠陈克琼王建平
Owner HEFEI UNIV OF TECH
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