Image character recognition method based on space-time convolutional neural network

A convolutional neural network and character recognition technology, applied in the field of image recognition, which can solve the problems of low modeling efficiency and low model inference time

Active Publication Date: 2020-02-25
上海兑观信息科技技术有限公司
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Problems solved by technology

Among them, the image feature extraction algorithm used in the current method still has room for improvement in accuracy. The modeling method of time series has certain requirements on the length of characters, and the modeling efficiency and model inference time are also low.

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  • Image character recognition method based on space-time convolutional neural network
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  • Image character recognition method based on space-time convolutional neural network

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Embodiment Construction

[0036] In order to make the content of the present invention clearer and easier to understand, the content of the present invention will be further described below in conjunction with the accompanying drawings. Obviously, the present invention is not limited to this specific embodiment, and general replacements known to those skilled in the art also fall within the protection scope of the present invention. Secondly, the present invention is described in detail by means of schematic diagrams. When describing the examples of the present invention in detail, for the convenience of explanation, the schematic diagrams are not partially enlarged according to the general scale, which should not be used as a limitation of the present invention.

[0037] Please refer to figure 1 , the invention provides a kind of image character recognition method based on spatio-temporal convolution neural network, comprises the following steps:

[0038] Step S01, preprocessing the input image;

[...

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Abstract

The invention provides an image character recognition method based on a space-time convolutional neural network. The method comprises the following steps: firstly, preprocessing an input image; extracting features of the input image by using a convolutional neural network; performing sequence modeling on the extracted features; and finally, predicting a final result according to the extracted feature sequence. The invention provides an image character recognition method based on a space-time convolutional neural network, and the method directly extracts text information in an image text, reduces the frequency of manual text input, saves the time of manual information input, reduces the workload, and improves the work efficiency.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular, the present invention relates to an image character recognition method based on spatio-temporal convolutional neural network. Background technique [0002] Image text recognition refers to the use of methods and technologies in the field of artificial intelligence to process text images and identify and extract characters in image text. Image text recognition can automatically extract the text information on the image, which helps to quickly understand the semantic information in the image and can help solve many practical problems. For example: identification and entry of invoices, electronic archiving and retrieval of historical files, etc. [0003] At this stage, the network architecture of image text recognition is: convolutional neural network extracts image features, and recurrent neural network models feature sequences. Among them, the convolutional neura...

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Application Information

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IPC IPC(8): G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/62G06V30/10G06N3/048G06N3/045G06F18/241Y02T10/40
Inventor 周钊郑莹斌叶浩
Owner 上海兑观信息科技技术有限公司
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