Binarization Processing Method of Adaptive Text Image Based on Pixel Neighborhood Features

A technology of neighborhood features and processing methods, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as time-consuming, hindering development, and large amount of calculation.

Inactive Publication Date: 2011-12-21
GUANGZHOU CANSIG ELECTRONICS TECH INC
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Problems solved by technology

Dynamic threshold binarization can deal with poor-quality images or even unimodal histograms, but because dynamic thresholding methods often need to calculate the threshold for each pixel in the image, that is, to find a threshold surface fo

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  • Binarization Processing Method of Adaptive Text Image Based on Pixel Neighborhood Features
  • Binarization Processing Method of Adaptive Text Image Based on Pixel Neighborhood Features
  • Binarization Processing Method of Adaptive Text Image Based on Pixel Neighborhood Features

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specific Embodiment

[0091] For an image of the address part of a second-generation resident ID card with a size of 377×164 pixels and a poor quality collected, such as Figure 4 As shown, firstly, the global brightness is adaptively adjusted to obtain an image with improved contrast between the target and the background gray scale, such as Figure 5 As shown; then, according to a certain scale factor, the bicubic interpolation algorithm is used to enlarge the image after adjusting the brightness, thereby increasing the gap between the character strokes, as shown in Image 6 shown; next to Image 6 Count the stroke width d of the target character to determine the size w of the neighborhood calculation template; then divide the text information into blocks according to the size of the adaptively obtained template; finally use the method of combining global and local thresholds in the text block Image 6 Perform point-by-point binarization, so that the target character can be clearly extracted from...

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Abstract

The invention discloses a binarization processing method for an adaptive text image based on pixel neighborhood features by using global and local thresholds. First, the global brightness adjustment is performed on the text image to increase the proportion of darker parts in the image and improve the brightness of the text. The gray contrast between the target character and the background in the image; then, the bicubic interpolation algorithm is used to scale the text image to increase the gap between the character strokes; then, the stroke width d of the target character is counted to determine the neighborhood calculation template Then, according to the size of the determined field calculation template, the text information of the text image is divided into text blocks; finally, the method of combining global and local thresholds is used to perform point-by-point binarization on each text block. The invention can effectively separate the character strokes from the background, avoid broken strokes, artifacts and other phenomena, maintain the connectivity of the strokes, reduce the calculation of local thresholds for pixel points in the text image, and greatly improve the calculation speed.

Description

technical field [0001] The invention relates to a method for binarizing a character image, in particular to a method for binarizing an adaptive character image based on pixel neighborhood features by using global and local thresholds. Background technique [0002] Binarization is a basic technology in digital image processing technology, and it is also a preprocessing technology for many image processing technologies. It is used in image processing such as automatic target recognition (ATR), image analysis, text enhancement and optical character recognition (OCR). be widely used. Most of the existing binarization methods belong to the thresholding method, and in different applications, the selection of the threshold determines the retention of image feature information. Therefore, the method of automatic threshold selection is worth studying. A good automatic threshold selection method can not only preserve the useful information in the image, but also reduce the time cost....

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Application Information

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IPC IPC(8): G06K9/38
Inventor 谭洪舟朱雄泳杨劲
Owner GUANGZHOU CANSIG ELECTRONICS TECH INC
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