Character detection method and system

A text detection and text technology, applied in the field of text recognition, can solve problems such as complex background, detection accuracy needs to be improved, and many false positive detections in detection results, so as to achieve the effect of improving accuracy, solving the problems of text scale change and false positive prediction

Active Publication Date: 2020-06-05
UNIV OF SCI & TECH OF CHINA +1
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Problems solved by technology

Text detection in natural scenes faces difficulties such as low resolution, complex background, and variable font size, which makes the actual application effect of traditional text detection technology poor
[0003] With the development of deep learning technology, the natural scene text detection technology based on deep learning has been significantly improved. Although this detection technology can detect text of any shape, the detection results contain many false positive detections and are affected by various text sizes. Influenced by sexual problems, its detection accuracy needs to be improved

Method used

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  • Character detection method and system
  • Character detection method and system

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Embodiment Construction

[0029] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0030] figure 1 A flow chart of a text detection method provided by an embodiment of the present disclosure is schematically shown.

[0031] refer to figure 1 , combined with Figure 2-Figure 3 ,right figure 1 The method shown is described in detail. Such as figure 1 As shown, the text detection method includes operation S110-operation S150.

[0032] In operation S110, feature extraction is performed on the input image to obtain a feature image.

[0033] In the present embodiment, utilize deep neural network (Deep Neural Networks, DNN) to carry out text detection, this deep neural network comprises ResNet50 feature extraction network, self-adaptive area suggestion network, fine-tuning network, text texture infor...

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Abstract

The invention discloses a character detection method and system, and the method comprises the steps: carrying out the feature extraction of an input image, and obtaining a feature image; predicting byusing the adaptive regional suggestion network to obtain a suggestion box; utilizing the suggestion box to cut the feature image to obtain a cut feature map; respectively carrying out character texture information modeling on the cutting feature map in two orthogonal directions to obtain a contour point thermodynamic diagram corresponding to each orthogonal direction; and screening contour pointsin the contour point thermodynamic diagram to obtain a contour point set so as to reconstruct characters in the input image. The adaptive region suggestion network can adapt to the scale change of characters to generate a suggestion box corresponding to a character region, and the character texture information modeling module performs character texture information modeling in the orthogonal direction to suppress false positive contour points, so that the detection precision of characters in any shape scene is improved.

Description

technical field [0001] The present disclosure relates to the technical field of text recognition, and in particular, to a text detection method and system. Background technique [0002] Text detection in natural scenes refers to the detection of text areas in complex backgrounds and marking the text areas with bounding boxes. The results of text detection in natural scenes are widely used in autonomous driving, robotics and other fields. Text detection in natural scenes faces difficulties such as low resolution, complex background, and variable font size, which makes the practical application effect of traditional text detection technology poor. [0003] With the development of deep learning technology, the natural scene text detection technology based on deep learning has been significantly improved. Although this detection technology can detect text of any shape, the detection results contain many false positive detections and are affected by various text sizes. Due to t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/34G06K9/62G06N3/04
CPCG06V20/62G06V30/153G06N3/045G06F18/2193
Inventor 张勇东王裕鑫谢洪涛
Owner UNIV OF SCI & TECH OF CHINA
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