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Calligraphy font type and text content synchronous identification method

A text content and type recognition technology, applied in the field of image processing, can solve the problems of cumbersome recognition process, low recognition accuracy and efficiency, and achieve the effect of overcoming low recognition efficiency, improving training efficiency and recognition efficiency, and strong real-time performance.

Active Publication Date: 2020-05-05
XIDIAN UNIV
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Problems solved by technology

However, the shortcomings of this method are: the method has requirements for the angle of calligraphy characters (requiring vertical placement) and the color of calligraphy characters (requiring black characters on a white background); it can only identify the font style of a single calligraphy character image
However, the shortcomings of this method are: the recognition process is cumbersome, and the recognition accuracy and efficiency are relatively low; only the text content of a single calligraphy image can be recognized

Method used

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  • Calligraphy font type and text content synchronous identification method

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Embodiment Construction

[0035] Attached below figure 1 The present invention is further described.

[0036] Step 1, generate a training set.

[0037] Select at least 2,500 images of individual calligraphy characters, of which 500 images are selected for each of the five font types, and each image is a commonly used Chinese character.

[0038] Reset the image dimensions to 103×103 pixels.

[0039] Label the font type and text content corresponding to each image.

[0040]The labeled 2500 images form the training set.

[0041] Step 2, construct a deep convolutional neural network.

[0042] Build a 7-layer deep convolutional neural network, and its structure is as follows: input layer → first convolutional layer → first maximum pooling layer → second convolutional layer → second maximum pooling layer → fully connected layer → output layer.

[0043] Set the size of the input layer to 103×103, set the size of the convolution kernel of the first convolution layer and the second convolution layer to 11...

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Abstract

The invention discloses a calligraphy font type and text content synchronous identification method, belongs to the technical field of image processing, and further relates to a calligraphy font type and text content synchronous identification method in the technical field of image and text identification. Firstly a training set is generated, then, a seven-layer deep convolutional neural network isconstructed; the font type recognition network and the text content recognition network are obtained through training with fonts and text content as labels respectively, and finally the font type recognition network and the text recognition network form a font type and text content synchronous recognition network used for synchronously recognizing the font type and the text content of a single calligraphy character image. According to the method, the training and recognition efficiency of the network is improved by utilizing a deep transfer learning technology, and the recognition robustnessis improved by utilizing an online data enhancement technology. Wide application prospects are realized in the scenes of calligraphy teaching, calligraphy evaluation and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a method for synchronously recognizing calligraphy font type and text content in the technical field of image character recognition. The invention is used for synchronously identifying the font type and text content of a single calligraphy character image, and can be applied to scenarios such as intelligent calligraphy teaching and calligraphy evaluation. Background technique [0002] There are many characters in Chinese calligraphy, and different fonts have distinct characteristics. Divided from the type of calligraphy character recognition, it is mainly divided into two categories: font style recognition and text content recognition. However, in many scenarios, it is necessary to recognize the font style and text content of a single calligraphy image at the same time. Synchronous recognition of the font style and text content of a single calligraphy character i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V30/413G06V30/226G06N3/045G06F18/214
Inventor 王俊平张亚琼方永强
Owner XIDIAN UNIV
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