Linguistic text detecting and positioning system, and linguistic text detecting and positioning method based on system

A language text and positioning system technology, applied in the direction of instruments, biological neural network models, character and pattern recognition, etc., can solve problems such as difficult language text detection, complex and changeable language text forms, etc., and achieve fast speed and high recognition accuracy Effect

Active Publication Date: 2017-07-25
INST OF INFORMATION ENG CAS
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Problems solved by technology

This type of method has a good effect in the field of general object detection, but due to the complex and changeable language text shape,

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  • Linguistic text detecting and positioning system, and linguistic text detecting and positioning method based on system
  • Linguistic text detecting and positioning system, and linguistic text detecting and positioning method based on system
  • Linguistic text detecting and positioning system, and linguistic text detecting and positioning method based on system

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Embodiment Construction

[0033] In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail in conjunction with the accompanying drawings.

[0034] The present invention provides a language text detection and positioning system, which is a region-based fully convolutional neural network, such as figure 1 As shown, the system includes a feature extraction network, at least three region proposal networks, a transition region and a text detection network;

[0035] The feature extraction network includes several convolutional layers and corresponding pooling layers, which are used to extract the underlying CNN features from the image to be detected, and obtain several different feature maps;

[0036] The at least three region proposal networks are used to perform binary classification and bounding box regression on whether the above-mentioned different feature maps contain text, and then generate text...

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Abstract

The invention provides a linguistic text detecting and positioning system, and a linguistic text detecting and positioning method based on the system. The system includes a feature extraction network for extracting bottom-layer CNN features out of a to-be-detected image to obtain a plurality of different feature maps; at least three area suggestion networks for conducting the dichotomy and the boundary frame regression of the above different feature maps respectively and generating text candidate areas according to text-contained feature maps; a transition region for connecting a plurality of text candidate areas and generating an area convolution feature map according to the above text-contained feature maps and the text candidate areas; and a text detection network for generating the text area boundary frame bias information according to the above area convolution feature map, conducting the non-maximum suppression on the bias information and the filtering operation on non-reasonable areas, and generating the predicted text area boundary frame coordinate information in an image coordinate space.

Description

technical field [0001] The invention relates to the field of image detection information, in particular to a language text detection and positioning system and a language text detection and positioning method using the system. Background technique [0002] Linguistic text in images often contains valuable information, and this information is exploited in many content-based image and image applications, such as content-based web image search, image information retrieval, and automatic text analysis and recognition. Traditional methods for language text localization in complex backgrounds can be roughly divided into three categories: methods based on sliding windows, methods based on connected components, and hybrid methods. [0003] A typical method such as the method based on connected components using MSERs (Maximum Stable Extremum Region), which uses a multi-stage method to locate language text information: first extract the MSERs regions of the three channels of the image...

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Application Information

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IPC IPC(8): G06K9/34G06K9/62G06N3/02
CPCG06N3/02G06V30/153G06V30/10G06F18/253
Inventor 谢洪涛方山城谭建龙
Owner INST OF INFORMATION ENG CAS
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