Self-heuristic type strategy-based natural scene character detection method and system

A natural scene and text detection technology, applied in the field of image recognition, can solve the problems of high complexity and low detection rate of text detection, and achieve the effect of improving detection efficiency and reducing search area

Active Publication Date: 2017-07-07
HUNAN NORMAL UNIVERSITY
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Problems solved by technology

[0006] The present invention provides a natural scene text detection method and system based on a self-heuristic strategy, and i

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  • Self-heuristic type strategy-based natural scene character detection method and system
  • Self-heuristic type strategy-based natural scene character detection method and system
  • Self-heuristic type strategy-based natural scene character detection method and system

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Embodiment Construction

[0136] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0137] Such as figure 1 As shown, a natural scene text detection method based on a self-heuristic strategy includes the following steps:

[0138] Step 1: Convert the input color natural scene image to grayscale natural scene image;

[0139] In the embodiment of the present invention, the resolution of the input color natural scene image is 1280×960, and the formula used in the embodiment of the present invention to convert the color image to the grayscale natural scene image is:

[0140] I gray (i,j)=0.2989×I R (i,j)+0.5870×I G (i,j)+0.1140×I B (i,j)

[0141] Among them, I R (i, j) represents the red component value of the pixel whose coordinate position is (i, j) in the color natural scene image, I G (i, j) represents the green component value of the pixel at the coordinate position (i, j) in the color natural scene image, I B (i, j) represent...

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Abstract

The invention discloses a self-heuristic type strategy-based natural scene character detection method and system. According to the method and system, a two-level cascaded filtering mechanism is established to judge character areas and background areas; provided that each character area has a dark-background light-character mode or a light-background dark-character mode in a gray scale natural scene, the contrast types of the character areas are judged, so that the contrast of the character areas in the gray scale natural scene is unified to be the dark-background light-character mode; and results which are judged as characters after two-level cascaded filtering processing is performed are adopted as seed characters; self-heuristic type search strategies are constructed at regions near the seed characters for each seed character; a trained deep neural network is adopted to detect undetected charters through sliding a detection window so as to improve the recall rate of character detection; and adjacent characters are separated from each other with words adopted as units. The self-heuristic type strategy-based natural scene character detection method and system of the invention is of great practical value in the semantic automatic understanding of characters in the natural scene.

Description

technical field [0001] The invention belongs to the field of image recognition, in particular to a method and system for detecting characters in natural scenes based on a self-heuristic strategy. Background technique [0002] As an extremely important information carrier, text plays a great role in promoting the process of human civilization. As a visual carrier of human language, text widely exists in all aspects of human society. In recent years, with the rapid development of computer vision technology, humans have managed to enable computers to simulate human visual understanding mechanisms, analyze captured images and understand image content independently, so as to obtain important clues in images; natural scenes include All kinds of scene content, as an important scene content, text has abstract description ability and high generalization ability. Detecting and recognizing text in images will help to understand image content and obtain important information clues. In...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/62G06K9/72
CPCG06V30/40G06V20/62G06V30/158G06V10/267G06V30/274G06F18/22G06F18/24G06F18/25
Inventor 王润民钱盛友杨剑锋邹孝
Owner HUNAN NORMAL UNIVERSITY
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