Method for character identification through fusing binary image and gray level image
A binary image, grayscale image technology, applied in the field of character recognition, can solve the problems of poor recognition effect, low character image quality, and poor recognition effect.
Active Publication Date: 2013-01-02
INST OF AUTOMATION CHINESE ACAD OF SCI
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When the recognition technology based on character binary images is applied to various low-quality images, such as low-resolution images such as degraded character images in videos, ID card images, car license plates, and character images in natural scenes, due to binarization The character image quality is low and the recognition effect is poor
When the recognition technology based on character grayscale images is applied to character images containing complex backgrounds, such as character images in videos, the recognition effect will be poor because the character images contain non-uniform backgrounds
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[0024] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.
[0025] Such as figure 1 As shown, the flow chart of the character recognition system of the present invention, the recognition algorithm can be divided into two parts: the training system and the recognition system. For each character training sample, the training system fuses its binary image and grayscale image, normalizes the size and position of the fused image, and extracts the features of the gradient histogram; uses the features extracted from the training samples to solve the feature The dimensionality reduction transformation matrix is used to obtain the character recognition library. In the recognition system, the binary image and the ...
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The invention relates to a method for character identification through fusing a binary image and a gray level image, which comprises the following steps: processing the binary image of a character image and a fusion image of the gray level image to carry out character identification; fusing the binary image of the character image and the gray level image to obtain the fusion image; normalizing the dimension and the position of the fusion image; extracting the features of a gradient histogram of a normalized image; obtaining a feature dimension reduction transformation matrix by utilizing principle component analysis and linear discriminant analysis; and establishing a character feature template library to carry out the character identification. The invention overcomes the defect that the traditional character identification technology of the binary image based on characters or the gray level image based on characters can not simultaneously identify the degenerated character image or the character image containing complex background.
Description
technical field [0001] The invention belongs to the field of character recognition (abbreviated as OCR), and relates to a character recognition method for consistent fusion of binary images and grayscale images. Background technique [0002] The traditional character recognition technology is based on the binary image of the character or the grayscale image based on the character. When the recognition technology based on character binary images is applied to various low-quality images, such as low-resolution images such as degraded character images in videos, ID card images, car license plates, and character images in natural scenes, due to binarization The character image quality is low, and the recognition effect is poor. When the recognition technology based on character grayscale images is applied to character images containing complex backgrounds, such as character images in videos, the recognition effect will be poor because the character images contain non-uniform ba...
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IPC IPC(8): G06K9/20
Inventor 张树武杨武夷
Owner INST OF AUTOMATION CHINESE ACAD OF SCI