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Video OCR image-text separation method and system

A separation method and graphic technology, applied in the field of image processing, can solve the problems of inability to extract complete strokes and uneven thickness of strokes, and achieve the effect of maintaining integrity, removing background noise, and ensuring shape integrity

Inactive Publication Date: 2009-12-02
HANVON CORP
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AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a video OCR image-text separation method and system to solve the problem that the existing recognition method using a bilateral model cannot extract complete strokes when the thickness of the strokes is uneven

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  • Video OCR image-text separation method and system
  • Video OCR image-text separation method and system
  • Video OCR image-text separation method and system

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Embodiment Construction

[0046] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] In the process of image-text separation, the present invention improves the existing bilateral model, so that the improved bilateral model can extract all strokes with a stroke width within a preset range, thereby solving the problem that the original model can only extract strokes with a specified width question. The present invention is also applicable to extracting text strokes from images with complex backgrounds, which will be described in detail below.

[0048] Existing bilateral models are first introduced.

[0049]In practical applications, in order to make the text in video frames or complex background images more readable, a contour is designed around the strokes of the text to distinguish it from the background....

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Abstract

The invention discloses a video Optical Character Recognition (OCR) image-text separation method and a system thereof to solve the problem that the current recognition method by using a bilateral model can not extract intact strokes in the case of uneven thickness of strokes. The methods comprises: the bilateral model is improved, so that text strokes with the width within the preset range is extracted; the improved bilateral model is used for extracting stroke images from an original text image; the extracted stroke images are converted into binary images; and the binary images are treated by de-noising processing. The invention can extract all the strokes with the stroke width within the preset range, and during the image post-processing stage, a new method combining of two-level overall threshold and edge detection is provided, which can be effective in eliminating background noise while maintaining the integrity of strokes.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a video OCR image-text separation method and system. Background technique [0002] OCR is the abbreviation of Optical Character Recognition in English, which means optical character recognition, and can also be simply called text recognition, which is a method of automatic text input. It obtains text and image information on paper through optical input methods such as scanning and photography, and uses various pattern recognition algorithms to analyze the morphological characteristics of text to determine the standard code of Chinese characters and store them in text files in a common format. [0003] Video text recognition (Video OCR) is an emerging research direction in the field of video analysis and application, and an important research direction in intelligent visual image processing for human-computer interaction. Video OCR is a technology for detecting, tracking, extracti...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/34G06K9/40G06K9/46
Inventor 禹晶黄磊刘昌平
Owner HANVON CORP
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