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Character recognition method for underwater video images

A video image and character recognition technology, applied in the field of image processing, can solve the problems of low recognition rate and poor character recognition effect, and achieve the effect of high recognition rate, improved recognition rate, and strong adaptability to smudge interference

Inactive Publication Date: 2015-02-18
HOHAI UNIV
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Problems solved by technology

[0011] The purpose of the present invention is to overcome the deficiencies in the prior art, provide a text recognition method for underwater video images, and solve the technical problems in the prior art that the text recognition effect of underwater video images under complex backgrounds is poor and the recognition rate is low

Method used

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  • Character recognition method for underwater video images

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Embodiment Construction

[0060] The present invention will be further described below in conjunction with the accompanying drawings.

[0061] Such as figure 1 Shown, a kind of text recognition method of underwater video image comprises the following steps:

[0062] Step 1: Preprocessing: Preprocessing the video image according to the principle of morphological image processing, enhancing the contrast, and filtering the noise: the video image captured underwater is an RGB color image, so it is necessary to preprocess the obtained color image to Get reliable images to process.

[0063] Such as figure 2 As shown, the preprocessing includes: grayscale processing, edge detection, image erosion and image smoothing.

[0064] The formula for grayscale processing is as follows:

[0065] Y(x,y)=0.299R+0.587G+0.114B (1)

[0066] The present invention improves formula (1) to obtain formula (2),

[0067] Y(x,y)=(30R+59G+11B) / 100 (2)

[0068] The improved grayscale processing formula can avoid floating-poin...

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Abstract

The invention discloses a character recognition method for underwater video images. The method comprises the steps that the video images are subjected to preprocessing according to the morphological image processing principle, the contrast ratio is enhanced, and noise is filtered out; video characters are subjected to region segmentation according to preprocessing results, and text region location is carried out through a method combining edge detection and communication elements; according to video character region segmentation results, character segmentation is carried out on characters through a binary method combining a global threshold method and a local threshold method, and segmented characters are subjected to normalization to enable the segmented characters to be consistent with characters in a template base in size; the template base is designed according to the characteristics of video characters, the segmented characters and the characters in the template base are matched, and the characters can be recognized and stored in text.

Description

technical field [0001] The invention relates to a character recognition method, in particular to a character recognition method for an underwater video image, and belongs to the technical field of image processing. Background technique [0002] In recent years, due to the rapid development of computer technologies such as image processing, pattern recognition, and artificial intelligence, the field of text recognition based on image processing has been widely used. With the deepening of OCR (Optical Character Recognition, optical character recognition) technology research, In the field of text recognition, a method for extracting text information from video images based on complex backgrounds is introduced. Its basic idea is to realize character recognition through morphological preprocessing of images, location and extraction of text regions. A large number of scholars have carried out in-depth research in the fields of text recognition preprocessing, text area positioning...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/36
CPCG06V20/635G06V10/751G06V30/10
Inventor 鹿浩马林冲鲍星星汪飞胡居荣曹宁
Owner HOHAI UNIV
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