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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, font size changes, etc., to achieve the effect of improving accuracy, solving the problems of text scale changes and false positive predictions

Active Publication Date: 2022-07-29
UNIV OF SCI & TECH OF CHINA +1
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AI Technical Summary

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
  • Character detection method and system

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Embodiment Construction

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

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

[0031] see figure 1 , while combining Figure 2-Figure 3 ,right figure 1 The method shown is described in detail. like figure 1 As shown, the character detection method includes operations S110-operation S150.

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

[0033] In this embodiment, a deep neural network (DNN) is used for character detection. The deep neural network includes a ResNet50 feature extraction network, an adaptive region suggestion network, a fine-tuning network, a horizontal text texture information perception netwo...

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Abstract

A text detection method and system, the method includes: extracting features from an input image to obtain a feature image; using an adaptive region suggestion network to make predictions to obtain a suggested frame; using the suggested frame to crop the feature image to obtain a trimmed feature map; Model the text texture information of the cropped feature map in two orthogonal directions, and obtain the contour point heat map corresponding to each orthogonal direction; filter the contour points in the contour point heat map to obtain a set of contour points for reconstruction. Enter the text in the image. The adaptive region proposal network can adapt to the scale change of the text to generate a proposal box corresponding to the text region. The text texture information modeling module can suppress the false positive contour points by modeling the text texture information in the orthogonal direction, thereby improving the text in any shape scene. detection accuracy.

Description

technical field [0001] The present disclosure relates to the technical field of character recognition, and in particular, to a character detection method and system. Background technique [0002] Text detection in natural scenes refers to detecting 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 make the practical application 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 the i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/62G06V30/148G06V30/19G06V10/82G06K9/62G06N3/04
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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