English text detection method with text direction correction function

A direction correction and text detection technology, applied in the field of English text detection with text direction correction, can solve problems such as different fonts, text separation, lack of English text correction, etc.

Active Publication Date: 2018-10-12
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0003] The key problems faced by scene text detection are: (1) Texts in document images have regular fonts, similar colors, uniform size and uniform arrangement, but even in the same scene, texts in natural scenes may have different fonts, colors , scale and orientation
(2) The background of natural scene images may be very complex
[0007] These me

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  • English text detection method with text direction correction function
  • English text detection method with text direction correction function
  • English text detection method with text direction correction function

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Embodiment Construction

[0053] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, and Not all examples.

[0054] The present invention provides an English text detection method with text direction correction, such as figure 1 As shown, it includes the following steps:

[0055] S1. Perform maximum stable extremum region detection on each channel of the sharpened image of the English text image, and extract MSER from the image as a text candidate; obtain the candidate text region;

[0056] S2, establish a classifier based on the convolutional neural network (Convolutional Neural Networks, CNN) model, extract the characteristics of the candidate text region, and use the softmax function to divide the c...

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Abstract

The invention belongs to the technical field of image processing, and specifically relates to an English text detection method with a text direction correction function. The method comprises the following steps of: respectively carrying out maximally stable extremal region detection on each channel of an English text image so as to obtain candidate text regions; establishing a convolutional neuralnetwork model-based classifier, and filtering wrong candidate text regions so as to obtain preliminary text regions; grouping the preliminary text regions by utilizing a double-layer text grouping algorithm; and carrying out direction correction on the grouped preliminary text regions so as to obtain a corrected text. According to the method, an enhanced multichannel MSER model is utilized to obtain more refined text regions, a parallel SPP-CNN classifier is imported to better distinguish text regions and non-text regions, images with any sizes can be processed, and pool features can be extracted under multiple scales, so that more features can be known through multilayer space information of source images; and the method is capable of processing slightly inclined scene texts.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an English text detection method with text direction correction. Background technique [0002] Text in natural scene images has accurate and rich information, which is of great significance for image analysis, image-based translation, image search, etc. Over the past 20 years, researchers have proposed several methods for detecting text in images of natural scenes. There are many content-based multimedia understanding applications such as automatic visual classification, image retrieval, assisted navigation, multilingual translation, object recognition, and consumer-oriented applications. [0003] The key problems faced by scene text detection are: (1) Texts in document images have regular fonts, similar colors, uniform size and uniform arrangement, but even in the same scene, texts in natural scenes may have different fonts, colors , scale and orientation. (2) The ba...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/62
CPCG06V20/63G06V30/10G06F18/2413
Inventor 代劲王族尹航
Owner CHONGQING UNIV OF POSTS & TELECOMM
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