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Off-line handwritten form Chinese character recognition method

A technology of Chinese character recognition and handwriting, applied in character and pattern recognition, computer components, instruments, etc., can solve the problems of complex Chinese characters, slow recognition speed, and high recognition speed of Chinese character feature extraction

Inactive Publication Date: 2012-10-24
SHANDONG UNIV
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AI Technical Summary

Problems solved by technology

[0007] In order to overcome the defects and deficiencies in the prior art, the present invention proposes an off-line handwritten Chinese character recognition method to solve the problems of complex recognition and extraction of Chinese characters and slow recognition speed, so that the feature extraction of Chinese characters is simple and the recognition speed is relatively high

Method used

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  • Off-line handwritten form Chinese character recognition method
  • Off-line handwritten form Chinese character recognition method

Examples

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Embodiment

[0075] Examples of the invention Figure 1-4 As shown, an offline handwritten Chinese character recognition method, the steps are as follows:

[0076] 1) Data collection

[0077] The handwritten Chinese character image data used in the recognition process is pre-written by the handwritten device mobile phone, ipad, and input into the computer for storage;

[0078] 2) Pretreatment

[0079] Preprocessing a Chinese character image to be recognized, including smoothing and denoising, binarization, line character segmentation, image normalization and refinement;

[0080] a. Smooth denoising

[0081] Since Chinese character noise is mostly Gaussian additive white noise, a Gaussian low-pass filter is selected here to complete the smoothing and denoising of Chinese character images;

[0082] b. Binarization

[0083] Binarization adopts the threshold method. For each pixel in the gray image, the value range is 0-255, and the threshold is set to 0.5. Any pixel in the image data that exceeds 255×0...

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Abstract

The invention discloses an off-line handwritten form Chinese character recognition method and belongs to the technical field of Chinese character recognition and extraction. The method comprises the steps of data collection, preprocessing, feature extraction and recognition extraction. A classification and recognition standard in the Chinese character recognition method comprises that a sample to be tested is classified according to a minimum distance standard, the feature recognition is performed based on a 4*4 elastic mesh, in rough classification recognition, the number of feature points such as end points, inflection points and cross points in each of meshes are conducted statistics on, and weight sum is respectively performed, in a second classification recognition, the number of transverse, vertical, left-falling and right-falling stroke vectors in each of the meshes is recorded, and handwritten form Chinese characters are recognized and extracted. According to the method, both off-line handwritten form Chinese characters and print form Chinese characters can be recognized, the feature extraction method of the Chinese character recognition method is simple, and the recognition speed is fast.

Description

Technical field [0001] The invention belongs to the technical field of handwritten Chinese character recognition, and particularly relates to an offline handwritten Chinese character recognition stroke feature extraction method. Background technique [0002] Offline handwritten Chinese character recognition has a wide range of applications in the following fields: [0003] (1) The use of Chinese character recognition technology in the field of information processing can greatly improve the efficiency of electronic paper documents. If the accuracy and speed of Chinese character recognition are increased to a higher level than manual input, it can save human resources while improving efficiency. [0004] (2) Automatic Chinese character recognition is the most ideal input method for office automation, press and publishing. [0005] (3) A large part of electronic documents are stored as dot-matrix images, which are stored as characters after Chinese character recognition, which will grea...

Claims

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Application Information

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IPC IPC(8): G06K9/68G06K9/60
Inventor 马丕明张璇
Owner SHANDONG UNIV
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