Multi-classifier integration-based image character recognition method

A text recognition and multi-classifier technology, applied in the field of image text recognition based on multi-classifier integration, can solve the problems of large amount of image data, image contamination, transmission of contamination images, etc., and achieve the effect of strong anti-interference ability

Inactive Publication Date: 2016-11-16
SOUTH CHINA NORMAL UNIVERSITY
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Problems solved by technology

[0003] Now, there are still several problems in the research of text image recognition technology. One is the large amount of image data. Generally speaking, to obtain higher recognition accuracy, the original image should have a highe

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  • Multi-classifier integration-based image character recognition method
  • Multi-classifier integration-based image character recognition method
  • Multi-classifier integration-based image character recognition method

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Embodiment 1

[0051] Such as figure 1 Shown, a kind of image character recognition method based on multiclassifier integration, described method comprises the following steps:

[0052] S1: convert the color image to be recognized into a grayscale image, and omit this step if the image to be recognized itself is a grayscale image;

[0053] When converting the color image to be recognized into a grayscale image, the weighted average method is used for grayscale conversion, that is, the weighted average of the values ​​​​of R, G, and B: R=G=B=a*R+b*G+c *B; Among them, R, G, and B represent red, green, and blue, respectively, and a, b, and c are the weights of R, G, and B, respectively, where b>a>c.

[0054] In image text recognition, the input image to be recognized is generally a color RGB image, which contains a large amount of color information. If the image is processed, the execution speed of the system will be reduced. In addition, the RGB image contains many colors that are not related...

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Abstract

The invention provides a multi-classifier integration-based image character recognition method. The method comprises the following steps of: converting a colored to-be-identified image into a grayscale image; carrying out binary processing on the grayscale image and segmenting an image region with character information; segmenting each Chinese character from a whole character image; extracting grid features and direction features of each Chinese character; selecting stroke density total length features to carry out first-layer rough classification by adoption of a minimum distance classifier; and respectively selecting peripheral features, the grid features and the direction features to complete second-layer classification matching by adoption of a nearest-neighbor classifier. The method has the advantages that the character recognition has relatively strong anti-jamming capability and relatively strong character local structure description capability, and is less influenced by stroke widths; by adoption of a classifier integration technology of complementing and combining the minimum distance classifier and the nearest-neighbor classifier, a system is more reliable; and the characters can be intelligently recognized, so that the adaptability of the system is improved and the recognition rate is high.

Description

technical field [0001] The present invention relates to the field of image and character recognition, and more specifically, relates to an image and character recognition method based on multi-classifier integration. Background technique [0002] Social development has entered the information age. With the expansion and deepening of practical activities and the needs of socialization, human beings need to identify many types of information with complex forms and contents. People no longer stay in their own ears and eyes to directly obtain this information, but use computers to automatically input text into computers. Due to the continuous improvement of the level of science and technology, various research objects have been "imaged" and "digitized", and multimedia information based on images has quickly become an important information transmission medium. The text information in the image contains rich high-level semantic information. . Extracting these words is very helpf...

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Application Information

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IPC IPC(8): G06K9/20G06K9/62
CPCG06V10/22G06F18/24147
Inventor 潘家辉黄绍峰罗笑玲欧阳天优
Owner SOUTH CHINA NORMAL UNIVERSITY
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