Method for identifying characters in picture, computer equipment and storage medium
A recognition method and optical character recognition technology are applied in the fields of computer equipment and storage media, and the recognition method of characters in pictures, which can solve the problems such as the influence of the recognition accuracy of optical character recognition, and achieve the effect of facilitating subsequent recognition and improving the recognition accuracy.
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Embodiment 1
[0066] Figure 1n It is a flow chart of a method for recognizing characters in pictures provided by Embodiment 1 of the present invention. This embodiment is applicable to character recognition in natural scenes, and generally can be integrated into computer equipment. Such as Figure 1n As shown, the method of this embodiment specifically includes:
[0067] Step 101. Input the picture to be processed into the optical character recognition model.
[0068] Wherein, the optical character recognition model is trained by using the training sample set in advance. After the OCR model learns appropriate and correct parameters, input the image to be processed into the OCR model. The pictures to be processed are pictures including characters.
[0069] Optionally, the optical character recognition model includes: a third convolutional layer connected in sequence, a first spatial transformation network, a dense convolutional network, a second spatial transformation network, a long-te...
Embodiment 2
[0099] figure 2 It is a flow chart of a method for recognizing characters in a picture provided by Embodiment 2 of the present invention. This embodiment can be combined with each optional solution in one or more of the above embodiments. In this embodiment, image feature extraction of the first depth is performed on the picture to be processed to obtain the first feature matrix, which may include: obtaining the image to be processed The pixel matrix of the picture; use the filter with the preset window size to perform convolution operation with the pixel matrix to obtain the first feature matrix.
[0100]And, performing the first space transformation process on the first feature matrix to obtain the first space transformation feature matrix may include: determining at least one parameter to be transformed according to the first feature matrix and a preset space transformation method; according to the parameter to be transformed , search to determine the mapping relationship...
Embodiment 3
[0133] image 3 It is a schematic structural diagram of a computer device provided by Embodiment 3 of the present invention. image 3 A block diagram of an exemplary computer device 12 suitable for implementing embodiments of the invention is shown. image 3 The computer device 12 shown is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present invention.
[0134] Such as image 3 As shown, computer device 12 takes the form of a general purpose computer device. Components of computer device 12 may include, but are not limited to, one or more processors 16, memory 28, bus 18 connecting various system components including memory 28 and processor 16. Processor 16 includes, but is not limited to, an AI processor.
[0135] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using ...
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