CN111968056A - Online check deposit business processing method, client, cloud server and system - Google Patents
Online check deposit business processing method, client, cloud server and system Download PDFInfo
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Abstract
The invention discloses an online ticket checking deposit business processing method, a client, a cloud server and a system, wherein the method comprises the following steps: collecting an image of a check to be deposited; sending out an image of a check to be deposited; receiving a check deposit business processing result fed back after the image brightness of the check to be deposited is enhanced according to the brightness enhancement model; the brightness enhancement model is generated from a plurality of check image samples by pre-training. The invention can improve the efficiency of on-line check deposit business processing and the customer experience.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an online check deposit business processing method, a client, a cloud server and a system.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
At present, some banks need to hold a check by themselves and go to a network for processing when processing check deposit business. Such a transaction mode leads to a lot of time cost and economic cost for the customers. In order to solve the problem, some banks provide online image check storage service through mobile phone banks. The service allows a customer to upload a picture of a check by using a personal mobile phone bank and then automatically extract check information to complete money deposit, and greatly facilitates the handling of customer business.
However, the method of on-line image check storage service requires processing the uploaded check picture by using a text information extraction algorithm to extract the text information of the check. However, in the actual business handling process, many pictures uploaded by users often have insufficient brightness. For the pictures with insufficient brightness, the text information extraction algorithm often cannot accurately extract information, so that the business fails, and the efficiency of online check deposit business processing is low.
Disclosure of Invention
The embodiment of the invention provides an online check deposit business processing method, which is used for improving the efficiency of online check deposit business processing and comprises the following steps:
collecting an image of a check to be deposited;
sending out an image of a check to be deposited;
receiving a check deposit business processing result fed back after the image brightness of the check to be deposited is enhanced according to the brightness enhancement model; the brightness enhancement model is generated from a plurality of check image samples by pre-training.
The embodiment of the invention also provides an online check deposit business processing method, which is used for improving the efficiency of online check deposit business processing and comprises the following steps:
receiving an image of a check to be deposited;
inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement; the brightness enhancement model is generated by pre-training a plurality of check image samples;
extracting the text information of the check from the image of the check to be deposited after the brightness is enhanced;
using the check character information extracted from the image of the check to be deposited after the brightness is enhanced to process the check deposit business and obtain the check deposit business processing result;
the check deposit transaction processing result is sent out.
The embodiment of the invention also provides an online check deposit business processing client, which is used for improving the efficiency of online check deposit business processing and comprises the following components:
the collection unit is used for collecting the image of the check to be deposited;
a first sending unit for sending out an image of a check to be deposited;
the first receiving unit is used for receiving the check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement model; the brightness enhancement model is generated from a plurality of check image samples by pre-training.
The embodiment of the invention also provides an online check deposit business processing cloud server, which is used for improving the efficiency of online check deposit business processing and comprises the following components:
a second receiving unit for receiving an image of a check to be deposited;
the brightness enhancement processing unit is used for inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after the brightness is enhanced; the brightness enhancement model is generated by pre-training a plurality of check image samples;
the extraction unit is used for extracting the character information of the check from the image of the check to be deposited after the brightness is enhanced;
the business processing unit is used for carrying out check deposit business processing by utilizing check character information extracted from the image of the check to be deposited after the brightness is enhanced to obtain a check deposit business processing result;
and a second sending unit for sending out the check deposit transaction processing result.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the online check deposit business processing method when executing the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program for executing the above-mentioned online check deposit transaction processing method is stored.
In the embodiment of the invention, compared with the technical scheme that the brightness of the check picture uploaded by a user is insufficient in the prior art, and the processing efficiency of the on-line check deposit business is low, the on-line check deposit business processing scheme has the following steps: firstly, a user collects an image of a check to be deposited through a client; sending out an image of a check to be deposited; then, the cloud server receives an image of a check to be deposited; inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement; the brightness enhancement model is generated by pre-training a plurality of check image samples; extracting the text information of the check from the image of the check to be deposited after the brightness is enhanced; using the check character information extracted from the image of the check to be deposited after the brightness is enhanced to process the check deposit business and obtain the check deposit business processing result; sending out the check deposit business processing result; finally, the client receives the check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement model, so that when a user transacts the online check deposit business, before text information is extracted from the check image, brightness enhancement is carried out on the check image uploaded by the user, the online check deposit business is completed, the business transaction success rate is improved, and the online check deposit business processing efficiency and the user experience are further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a schematic diagram of an online check deposit transaction processing system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the online check deposit transaction processing in an embodiment of the invention;
FIG. 3 is a flow chart illustrating a method for processing an online check deposit transaction applied to a client in an embodiment of the present invention;
FIG. 4 is a diagram of a luminance enhancement convolutional neural network model in an embodiment of the present invention;
FIG. 5 is a schematic flow chart illustrating an online check deposit transaction processing method applied to a cloud server according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an online check deposit transaction processing client in accordance with an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of an online check deposit transaction processing cloud server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In view of the technical problems in the prior art, the inventor proposes an online ticket deposit business processing scheme, which is a check brightness enhancement scheme based on deep learning. Before the text information in the picture is extracted by the text information extraction algorithm, the scheme can enhance the brightness of the uploaded picture, so that the algorithm extraction success rate is improved as much as possible, the service success rate is further improved, and the user experience is improved. Specifically, as shown in fig. 1 and fig. 2, in the embodiment of the present invention, the system in the online check deposit transaction processing scheme may include: when the client 10 and the cloud server 20 work, firstly, a user collects an image of a check to be deposited through the client 10 (which can be a smart phone with a mobile phone bank); sending out an image of a check to be deposited; then, the cloud server 20 receives the image of the check to be deposited; inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement; the brightness enhancement model is generated by pre-training a plurality of check image samples; extracting the text information of the check from the image of the check to be deposited after the brightness is enhanced; using the check character information extracted from the image of the check to be deposited after the brightness is enhanced to process the check deposit business and obtain the check deposit business processing result; sending out the check deposit business processing result; finally, the client receives the check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement model, so that the brightness enhancement of the check image uploaded by the user can be realized before text information is extracted from the check image when the user handles the on-line check deposit business, the on-line check deposit business is completed, the business success rate is improved, and the on-line check deposit business processing efficiency and the user experience are further improved. The on-line check deposit transaction processing scheme is described in detail below.
FIG. 3 is a flow chart of an online check deposit transaction processing method applied to a client in an embodiment of the invention, as shown in FIG. 3, the method includes the following steps:
step 101: collecting an image of a check to be deposited;
step 102: sending out an image of a check to be deposited;
step 103: receiving a check deposit business processing result fed back after the image brightness of the check to be deposited is enhanced according to the brightness enhancement model; the brightness enhancement model is generated from a plurality of check image samples by pre-training.
The method for processing the online check deposit business provided by the embodiment of the invention can realize brightness enhancement on the check image uploaded by the user before extracting the text information from the check image when the user transacts the online check deposit business, thereby completing the online check deposit business, improving the business success rate and further improving the efficiency of processing the online check deposit business and the user experience.
In one embodiment, capturing an image of a check to be deposited may include: preprocessing the image of the check to be deposited to obtain a preprocessed image of the check to be deposited;
issuing an image of a check to be deposited may include: and sending out the image of the check to be deposited after the pretreatment.
In specific implementation, after the image of the check to be deposited is obtained, the image of the check to be deposited is preprocessed, for example, the marked picture (marked with the part to be highlighted in the picture) is preprocessed by scale conversion, normalization and the like, so that the success rate of online check deposit business processing is further improved, and the efficiency of online check deposit business processing is further improved.
In one embodiment, receiving the check deposit transaction processing result fed back after enhancing the brightness of the image of the check to be deposited according to the brightness enhancement model may include: and receiving a check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement convolutional neural network model.
In specific implementation, the brightness enhancement model can be a brightness enhancement convolutional neural network model, the input of the brightness enhancement convolutional neural network model is a check picture (such as a dim light picture) with insufficient brightness, the output of the brightness enhancement convolutional neural network model is a highlighted check picture (such as a bright light picture), and the brightness enhancement of the brightness enhancement convolutional neural network model is performed on the check picture, so that subsequent accurate text information extraction is facilitated, the success rate of online check deposit business processing is further improved, and the efficiency of online check deposit business processing is further improved.
In one embodiment, as shown in FIG. 4, the luma-enhanced convolutional neural network model may include 9 convolutional layers and 1 output layer.
In specific implementation, the brightness enhancement of the check image is carried out by applying the convolution neural network model with brightness enhancement of 9 convolution layers and 1 output layer, which is favorable for further improving the success rate of online check deposit business processing and further improving the efficiency of online check deposit business processing.
For ease of understanding, the process of pre-training to obtain the luminance enhancement convolutional neural network model is described in detail below.
The invention designs a brightness enhancement model by adopting a deep learning technology, and the model is formed on the basis of a convolutional neural network. When the brightness of the picture is enhanced by the model, the influence of texture information, spatial information of pixels and local information between adjacent pixels in the picture on the result can be fully considered. The model information utilization capability is stronger, and the result is more reliable. The specific steps may include:
1. and (6) data acquisition. The data acquisition part needs to shoot the same check picture under the light and dark light conditions. Wherein, the dim light picture is used as an input picture of the training model; the bright picture is used as a label of the training model.
2. And (4) preprocessing data. And preprocessing the marked picture such as scale transformation, normalization and the like.
3. And (5) building a model. A model was constructed for use with the present invention, which included 9 convolutional layers and 1 output layer.
1) Building a convolutional layer. As shown in fig. 4, wherein the input picture is 128 × 128. The first convolution layer is 128 × 128- >64 × 64, the second convolution layer is 64 × 64- >32 × 32, the third convolution layer is 32 × 32- >16 × 16, the fourth convolution layer is 16 × 16- >8 × 8, the fifth convolution layer is 8 × 8- >8 × 8, the sixth convolution layer is 8 × 8- >16 × 16, the seventh convolution layer is 16 × 16- >32 × 32, the eighth convolution layer is 32 × 32- >64 × 64, and the ninth convolution layer is 64 × 64- >128 × 128.
2) And constructing an output layer. Wherein, the output layer outputs the result of the ninth convolutional layer, and the convolutional layer adopts a Sigmoid activation function and a cross entropy (cross entropy) loss function.
4. And (5) training and storing the model. And (3) training the model built in the step (3) by using the data obtained in the step (2) until the model achieves the optimal performance, and storing the model (brightness enhancement convolutional neural network model) so as to enhance the brightness of check pictures when a user handles the on-line check deposit business subsequently, thereby improving the success rate and the efficiency of the on-line check deposit business.
To sum up, the on-line check deposit business processing scheme provided by the embodiment of the invention has the advantages that:
1) the method provided by the embodiment of the invention completes brightness enhancement by directly processing the whole picture, has simple use, convenient and efficient use and can save a large amount of time cost and labor cost;
2) the method provided by the embodiment of the invention can fully consider the characteristics of various textures, local information of adjacent pixels, pixel space information and the like in the picture, and the judgment result is more accurate;
3) the method provided by the embodiment of the invention is an end-to-end process, can be popularized to other problems only by replacing the corresponding data set, and has the advantages of wide application range and low popularization cost.
The embodiment of the invention also provides an online check deposit business processing method applied to the cloud server, and the method is described in the following embodiment. The principle of solving the problems of the online check deposit business processing method applied to the cloud server is similar to that of the online check deposit business processing method applied to the client, so the implementation of the online check deposit business processing method applied to the cloud server can refer to the implementation of the online check deposit business processing method applied to the client, and repeated parts are not described again.
Fig. 5 is a schematic flow chart of an online check deposit transaction processing method applied to a cloud server in the embodiment of the present invention, as shown in fig. 5, the method includes the following steps:
step 201: receiving an image of a check to be deposited;
step 202: inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement; the brightness enhancement model is generated by pre-training a plurality of check image samples;
step 203: extracting the text information of the check from the image of the check to be deposited after the brightness is enhanced;
step 204: using the check character information extracted from the image of the check to be deposited after the brightness is enhanced to process the check deposit business and obtain the check deposit business processing result;
step 205: the check deposit transaction processing result is sent out.
In one embodiment, receiving an image of a check to be deposited may include: receiving the preprocessed image of the check to be deposited;
inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement, wherein the image of the check to be deposited after brightness enhancement comprises the following steps: and inputting the preprocessed image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement.
In one embodiment, inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain an image of the check to be deposited after brightness enhancement may include: and inputting the image of the check to be deposited into a pre-trained brightness enhancement convolution neural network model to obtain the image of the check to be deposited after brightness enhancement.
The embodiment of the invention also provides an online ticket checking deposit business processing client, which is described in the following embodiment. Because the principle of solving the problems of the client is similar to the online check deposit business processing method, the implementation of the client can refer to the implementation of the online check deposit business processing method, and repeated parts are not described again.
Fig. 6 is a schematic structural diagram of an online check deposit transaction processing client according to an embodiment of the present invention, as shown in fig. 6, the client 10 in fig. 1 includes:
the collecting unit 11 is used for collecting the image of the check to be deposited;
a first sending unit 12 for sending out an image of a check to be deposited;
the first receiving unit 13 is used for receiving the check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement model; the brightness enhancement model is generated from a plurality of check image samples by pre-training.
In one embodiment, the acquisition unit may be specifically configured to: preprocessing the image of the check to be deposited to obtain a preprocessed image of the check to be deposited;
the first sending unit may specifically be configured to: and sending out the image of the check to be deposited after the pretreatment.
In an embodiment, the first receiving unit may specifically be configured to: and receiving a check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement convolutional neural network model.
The embodiment of the invention also provides an online ticket credit business processing cloud server, which is described in the following embodiment. Because the principle of solving the problems of the cloud server is similar to the online check deposit business processing method, the implementation of the cloud server can refer to the implementation of the online check deposit business processing method, and repeated parts are not described again.
Fig. 7 is a schematic structural diagram of an online check deposit transaction processing cloud server according to an embodiment of the present invention, and as shown in fig. 7, the cloud server 20 in fig. 1 includes:
a second receiving unit 21 for receiving an image of a check to be deposited;
the brightness enhancement processing unit 22 is used for inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement; the brightness enhancement model is generated by pre-training a plurality of check image samples;
an extracting unit 23 for extracting the character information of the check from the image of the check to be deposited after the brightness enhancement;
a service processing unit 24, configured to perform check deposit service processing by using check text information extracted from the brightness-enhanced check image to be deposited, so as to obtain a check deposit service processing result;
and a second sending unit 25 for sending out the check deposit transaction result.
In an embodiment, the second receiving unit may specifically be configured to: receiving the preprocessed image of the check to be deposited;
the brightness enhancement processing unit may specifically be configured to: and inputting the preprocessed image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement.
In an embodiment, the brightness enhancement processing unit may be specifically configured to: and inputting the image of the check to be deposited into a pre-trained brightness enhancement convolution neural network model to obtain the image of the check to be deposited after brightness enhancement.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the online check deposit business processing method when executing the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program for executing the above-mentioned online check deposit transaction processing method is stored.
In the embodiment of the invention, compared with the technical scheme that the brightness of the check picture uploaded by a user is insufficient in the prior art, and the processing efficiency of the on-line check deposit business is low, the on-line check deposit business processing scheme has the following steps: firstly, a user collects an image of a check to be deposited through a client; sending out an image of a check to be deposited; then, the cloud server receives an image of a check to be deposited; inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement; the brightness enhancement model is generated by pre-training a plurality of check image samples; extracting the text information of the check from the image of the check to be deposited after the brightness is enhanced; using the check character information extracted from the image of the check to be deposited after the brightness is enhanced to process the check deposit business and obtain the check deposit business processing result; sending out the check deposit business processing result; finally, the client receives the check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement model, so that the brightness enhancement of the check image uploaded by the user can be realized before text information is extracted from the check image when the user handles the on-line check deposit business, the on-line check deposit business is completed, the business success rate is improved, and the on-line check deposit business processing efficiency and the user experience are further improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (16)
1. An online ticket credit transaction processing method is characterized by comprising the following steps:
collecting an image of a check to be deposited;
sending out an image of a check to be deposited;
receiving a check deposit business processing result fed back after the image brightness of the check to be deposited is enhanced according to the brightness enhancement model; the brightness enhancement model is generated from a plurality of check image samples by pre-training.
2. The online check deposit transaction method of claim 1, wherein capturing an image of a check to be deposited comprises: preprocessing the image of the check to be deposited to obtain a preprocessed image of the check to be deposited;
issuing an image of a check to be deposited, comprising: and sending out the image of the check to be deposited after the pretreatment.
3. The method of on-line check deposit transaction processing of claim 1, wherein receiving a check deposit transaction processing result fed back after enhancing the brightness of the image of the check to be deposited according to the brightness enhancement model, comprises: and receiving a check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement convolutional neural network model.
4. The method of online check deposit transaction processing according to claim 3, wherein the luminance enhancement convolutional neural network model includes 9 convolutional layers and 1 output layer.
5. An online ticket credit transaction processing method is characterized by comprising the following steps:
receiving an image of a check to be deposited;
inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement; the brightness enhancement model is generated by pre-training a plurality of check image samples;
extracting the text information of the check from the image of the check to be deposited after the brightness is enhanced;
using the check character information extracted from the image of the check to be deposited after the brightness is enhanced to process the check deposit business and obtain the check deposit business processing result;
the check deposit transaction processing result is sent out.
6. The online check deposit transaction method of claim 5, wherein receiving an image of a check to be deposited comprises: receiving the preprocessed image of the check to be deposited;
inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement, wherein the image of the check to be deposited after brightness enhancement comprises the following steps: and inputting the preprocessed image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement.
7. The method of on-line check deposit transaction of claim 5, wherein inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain an image of the check to be deposited with enhanced brightness comprises: and inputting the image of the check to be deposited into a pre-trained brightness enhancement convolution neural network model to obtain the image of the check to be deposited after brightness enhancement.
8. An online ticket credit transaction client, comprising:
the collection unit is used for collecting the image of the check to be deposited;
a first sending unit for sending out an image of a check to be deposited;
the first receiving unit is used for receiving the check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement model; the brightness enhancement model is generated from a plurality of check image samples by pre-training.
9. The online check deposit transaction client of claim 8, wherein the capture unit is specifically configured to: preprocessing the image of the check to be deposited to obtain a preprocessed image of the check to be deposited;
the first sending unit is specifically configured to: and sending out the image of the check to be deposited after the pretreatment.
10. The online check deposit transaction client of claim 8, wherein the first receiving unit is specifically configured to: and receiving a check deposit business processing result fed back after the brightness of the image of the check to be deposited is enhanced according to the brightness enhancement convolutional neural network model.
11. The utility model provides an online ticket deposit business processing high in the clouds server which characterized in that includes:
a second receiving unit for receiving an image of a check to be deposited;
the brightness enhancement processing unit is used for inputting the image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after the brightness is enhanced; the brightness enhancement model is generated by pre-training a plurality of check image samples;
the extraction unit is used for extracting the character information of the check from the image of the check to be deposited after the brightness is enhanced;
the business processing unit is used for carrying out check deposit business processing by utilizing check character information extracted from the image of the check to be deposited after the brightness is enhanced to obtain a check deposit business processing result;
and a second sending unit for sending out the check deposit transaction processing result.
12. The cloud server for processing online check deposit transaction of claim 11, wherein the second receiving unit is specifically configured to: receiving the preprocessed image of the check to be deposited;
the brightness enhancement processing unit is specifically configured to: and inputting the preprocessed image of the check to be deposited into a pre-trained brightness enhancement model to obtain the image of the check to be deposited after brightness enhancement.
13. The cloud server for processing online check deposit transaction of claim 11, wherein the brightness enhancement processing unit is specifically configured to: and inputting the image of the check to be deposited into a pre-trained brightness enhancement convolution neural network model to obtain the image of the check to be deposited after brightness enhancement.
14. An online ticket credit transaction system, comprising:
an online check deposit transaction client as claimed in any one of claims 8 to 10;
the online check deposit transaction cloud server of any of claims 11 to 13.
15. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 7 when executing the computer program.
16. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 7.
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