CN111709413A - Certificate verification method and device based on image recognition, computer equipment and medium - Google Patents
Certificate verification method and device based on image recognition, computer equipment and medium Download PDFInfo
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
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Abstract
The present application relates to the field of artificial intelligence, and in particular, to a method, an apparatus, a computer device, and a medium for document verification based on image recognition. The method comprises the following steps: the method comprises the steps of carrying out segmentation processing on an acquired certificate image to be verified to obtain a plurality of certificate area images; acquiring the position information of each certificate area image, and determining the area type of each certificate area image according to the acquired position information; determining a processing mode corresponding to each certificate area image according to the type of the area to which the certificate area image belongs, and performing identification processing to obtain an identification processing result of each certificate area image; and generating a verification result of the certificate image to be verified according to the identification processing result of the plurality of certificate area images of the certificate image to be verified. The method can improve the accuracy of anti-counterfeiting verification. In addition, the invention also relates to a block chain technology, and the acquired certificate image to be verified, the acquired certificate area image, the corresponding recognition result and the verification result can be stored in the block chain.
Description
Technical Field
The present application relates to the field of artificial intelligence, and in particular, to a method, an apparatus, a computer device, and a medium for document verification based on image recognition.
Background
With the rapid development of economy and the continuous improvement of living standard, the insurance buying is not only a financing mode, but also an effective method for avoiding risks and establishing a personal guarantee system. Before issuing a policy, the system needs to perform anti-counterfeiting verification on the object information of the object to be issued.
In a conventional manner, a server determines the authenticity of an acquired document image by performing anti-counterfeit verification on a document number in the acquired document image.
But for the user who knows the certificate number generation rule or characteristic, the verification of the system can be bypassed through the PS certificate number, so that the accuracy of the anti-counterfeiting verification is lower.
Disclosure of Invention
In view of the above, it is necessary to provide a certificate verification method, apparatus, computer device and medium based on image recognition, which can improve the accuracy of anti-counterfeit verification.
A method of document verification based on image recognition, the method comprising:
acquiring a certificate image to be verified;
carrying out segmentation processing on a certificate image to be verified to obtain a plurality of certificate area images;
acquiring the position information of each certificate area image on the certificate image to be verified, and determining the area type of each certificate area image according to the acquired position information;
determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and respectively carrying out identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image;
and generating a verification result of the certificate image to be verified according to the identification processing result of the plurality of certificate area images of the certificate image to be verified.
In one embodiment, determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and performing identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image, includes:
performing text recognition on each certificate area image to obtain a first recognition processing result corresponding to each certificate area image;
carrying out image recognition on each certificate area image to obtain a second recognition processing result of each certificate area image;
and counting the first identification processing result and the second identification processing result of each certificate area image to obtain the identification processing result of each certificate area image.
In one embodiment, performing text recognition on each certificate area image to obtain a first recognition processing result corresponding to each certificate area image includes:
performing text recognition on each certificate area image to obtain text contents in each certificate area image;
respectively acquiring a generation rule corresponding to the text content in each certificate area image according to the area type of each certificate area image;
and judging whether each text content obtained by text recognition accords with a generation rule of the text content in the certificate area image or not so as to obtain a first recognition processing result corresponding to each certificate area image.
In one embodiment, the image recognition of each certificate area image to obtain a second recognition processing result of each certificate area image includes:
carrying out image recognition on each certificate area image to obtain image characteristics of text content in each certificate area image;
and obtaining a second identification processing result corresponding to each certificate area image according to each image characteristic.
In one embodiment, before segmenting the document image to be verified to obtain a plurality of document region images, the method further includes:
identifying the certificate type of the certificate image to be verified to obtain the certificate type of the certificate image to be verified;
the method comprises the following steps of carrying out segmentation processing on a certificate image to be verified to obtain a plurality of certificate area images, wherein the segmentation processing comprises the following steps:
and carrying out segmentation processing on the certificate image to be verified through a pre-trained image segmentation model corresponding to the certificate type to obtain a plurality of segmented certificate area images.
In one embodiment, before the segmenting process is performed on the document image to be verified to obtain the plurality of area images, the method further includes:
adjusting the acquired certificate image to be verified to a preset size to obtain the certificate image to be verified which meets the preset size requirement;
the method comprises the following steps of carrying out segmentation processing on a certificate image to be verified to obtain a plurality of certificate area images, wherein the segmentation processing comprises the following steps:
and carrying out segmentation processing on the certificate image to be verified which meets the preset size requirement to obtain a plurality of certificate area images.
In one embodiment, the identification processing of each certificate area image by each processing mode comprises the following steps:
identifying and processing each certificate area image in parallel through a processing mode corresponding to each certificate area image;
at least one of the certificate image to be verified, each certificate area image, the position information of each certificate area image on the certificate image to be verified, the area type of each certificate area image, the identification processing result of each certificate area image and the verification result of the certificate image to be verified is stored in the block chain.
An image recognition based document authentication device, the device comprising:
the certificate image acquisition module to be verified is used for acquiring a certificate image to be verified;
the segmentation processing module is used for carrying out segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images;
the area type determining module is used for acquiring the position information of each certificate area image on the certificate image to be verified and determining the area type of each certificate area image according to the acquired position information;
the identification processing module is used for determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and respectively carrying out identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image;
and the verification result generation module is used for generating the verification result of the certificate image to be verified according to the identification processing result of the plurality of certificate area images of the certificate image to be verified.
A computer device comprising a memory storing a computer program and a processor implementing the steps of any of the methods described above when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any of the above.
The certificate verification method, the certificate verification device, the computer equipment and the storage medium based on the image recognition acquire the certificate image to be verified, perform segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images, acquire the position information of each certificate area image on the certificate image to be verified, determine the area type of each certificate area image according to the acquired position information, further determine the processing mode corresponding to each certificate area image according to the area type of each certificate area image, perform recognition processing on each certificate area image through each processing mode respectively to obtain the recognition processing result of each certificate area image, and further generate the verification result of the certificate image to be verified. Therefore, the image to be verified is divided into a plurality of certificate area images, the certificate area images are classified, and then the corresponding processing modes are obtained for recognition processing, so that the accuracy of recognition processing can be improved, and the accuracy of verification can be improved.
Drawings
FIG. 1 is a diagram of an application scenario of a certificate verification method based on image recognition in one embodiment;
FIG. 2 is a schematic flow diagram of a method for authentication of a document based on image recognition in one embodiment;
FIG. 3 is a schematic diagram of the structure of an image of a document to be identified in one embodiment;
FIG. 4 is a block diagram of a document authentication device based on image recognition in one embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The certificate verification method based on image recognition can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. In this embodiment, the server terminal 102 collects an image of a certificate to be verified and uploads the image to the server 104. After the server 104 obtains the certificate image to be verified, the certificate image to be verified is segmented to obtain a plurality of certificate area images. Further, the server 104 acquires the position information of each certificate area image on the certificate image to be verified, and determines the area type of each certificate area image according to the acquired position information. Then, the server 104 determines a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and performs identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image. The server 104 then generates a verification result for the image of the document to be verified based on the recognition processing results for the plurality of document region images of the image of the document to be verified. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, there is provided a certificate verification method based on image recognition, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
step S202, obtaining the certificate image to be verified.
The image of the document to be verified may refer to various standard images, and may include, but is not limited to, an identity card, a passport, a military certificate, a homeland certificate, a typhoon certificate, a driving certificate, and the like. In the present embodiment, the server may be a photographed image, or various scanned images, or the like.
In this embodiment, the document image to be verified may be an image for performing insurance verification, and the insured object uploads the corresponding document image to be verified to the server through the enterprise or the personal terminal, so as to perform insurance verification through the server.
And step S204, carrying out segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images.
The certificate area image refers to a partial image forming a certificate image to be verified, for example, referring to fig. 3, for an identity card, the certificate area image may include a name area image, a gender area image, a date of birth area image, a certificate type area image, a certificate number area image, a portrait area image, and the like.
In this embodiment, the image to be verified may be segmented by the image segmentation model to obtain a plurality of certificate area images constituting the image to be verified.
Specifically, the image segmentation model may be a neural network model, an artificial intelligence AI model, or the like, which is not limited in this application.
In this embodiment, each certificate image has its own certificate format, and the server can train and verify the image segmentation model by using the certificate images of various correct certificate formats as a training set image and a verification set image, so as to obtain the trained and verified image segmentation model.
Further, the server can input the acquired certificate image to be verified into a training and verified image segmentation model to perform certificate area identification segmentation on the certificate image to be verified so as to obtain a plurality of segmented certificate area images.
Step S206, acquiring the position information of each certificate area image on the certificate image to be verified, and determining the area type of each certificate area image according to the acquired position information.
As mentioned above, each certificate image has a unique certificate format, such as name, date of birth, certificate number, etc. all have corresponding fixed positions on the certificate image.
In this embodiment, the server may determine each certificate area image according to the position information of each certificate area image on the certificate image to be verified, which is obtained in the segmentation process, so as to determine the type of each certificate area image. For example, referring to fig. 3, taking the identity card as an example, the position of the certificate number area image in the bottom position of the certificate image to be verified and the position of the certificate number area image away from the bottom edge of the certificate image to be detected are fixed, and for the name area image, the position of the name area image in the certificate image to be detected is an upper left position, an upper left vertex is used as an origin, and both the X coordinate and the Y coordinate are coordinates with minimum coordinate values.
And step S208, determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and respectively performing identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image.
The identification processing mode may include processing modes such as character identification, image identification or generation rules, and the corresponding identification processing modes may be different corresponding to different certificate area images, may be a single character identification, image identification or generation rule, and may also be an identification processing mode formed by combining 2 or 3 of the character identification, image identification or generation rules. For example, the corresponding recognition processing method for the name area image may be character recognition plus image recognition, the corresponding recognition processing method for the portrait area image may be image recognition alone, or the corresponding recognition processing method for the certificate number area image may include a combination of character recognition plus number generation rules plus image recognition.
In this embodiment, the identification processing result is a result of identifying the certificate area image, and the obtained certificate area image is true or false.
Specifically, the server may determine the identification processing method corresponding to each certificate area image according to the association relationship between each certificate area type and the identification processing method, and further perform identification processing on each certificate area image through the determined identification processing method, and output a corresponding identification processing result.
Step S210, generating a verification result of the certificate image to be verified according to the identification processing result of the plurality of certificate area images of the certificate image to be verified.
Specifically, the server can obtain a statistical result by counting the recognition processing results of all the area images of the certificate image to be detected, and further judge the statistical result to generate a verification result that the certificate image to be verified is a real certificate image or a forged certificate image, so as to verify the certificate image to be verified.
In this embodiment, if the server determines that the identification processing results of all the certificate area images of the certificate image to be verified are true, the server may generate a verification result for detecting that the certificate image is a true certificate image, and if the server determines that the identification processing result of at least one certificate area image in all the certificate area images of the certificate image to be verified is false, the server may generate a verification result for detecting that the certificate image is a false certificate image.
The certificate verification method based on image recognition comprises the steps of obtaining a certificate image to be verified, carrying out segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images, then obtaining position information of each certificate area image on the certificate image to be verified, determining the area type of each certificate area image according to the obtained position information, further determining the processing mode corresponding to each certificate area image according to the area type of each certificate area image, carrying out recognition processing on each certificate area image through each processing mode respectively to obtain the recognition processing result of each certificate area image, and further generating the verification result of the certificate image to be verified. Therefore, the image to be verified is divided into a plurality of certificate area images, the certificate area images are classified, and then the corresponding processing modes are obtained for recognition processing, so that the accuracy of recognition processing can be improved, and the accuracy of verification can be improved.
In one embodiment, determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and performing identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image may include: performing text recognition on each certificate area image to obtain a first recognition processing result corresponding to each certificate area image; carrying out image recognition on each certificate area image to obtain a second recognition processing result of each certificate area image; and counting the first identification processing result and the second identification processing result of each certificate area image to obtain the identification processing result of each certificate area image.
The first recognition processing result is a text recognition result obtained after text recognition is carried out on the certificate area image, and the second recognition processing result is an image recognition result obtained after image recognition is carried out on the certificate area image. In this embodiment, the first recognition processing result and the second recognition processing result may refer to a result that the certificate area image is true or false.
In this embodiment, the server may perform text recognition and image recognition on each certificate area image to obtain a corresponding first recognition processing result and a corresponding second recognition processing result.
Optionally, the text recognition and the image recognition performed on each certificate area image by the server may be performed in parallel, or may be performed after the text recognition, or after the image recognition, the text recognition, and the like, which is not limited in the present application.
Further, the server may determine a final recognition processing result that each certificate area image is true or false by performing statistics on the first recognition processing result and the second recognition processing result, for example, if both the first recognition processing result and the second recognition processing result are true, the certificate area image may be determined to be true, and if at least one of the first recognition processing result and the second recognition processing result is false, the certificate area image may be determined to be false.
In this embodiment, the server performs text recognition and image recognition on the area image by using a neural network model, and performs text recognition and image recognition on each certificate area image by using a single or the neural network model.
In the embodiment, the text recognition and the image recognition are respectively performed on the certificate area image, and the recognition processing result of the certificate area image is obtained based on the obtained first recognition processing result and the second recognition processing result, so that the recognition processing result is obtained by combining the character recognition and the image recognition, and the accuracy of the recognition processing can be improved.
In one embodiment, performing text recognition on each document area image to obtain a first recognition processing result corresponding to each document area image may include: performing text recognition on each certificate area image to obtain text contents in each certificate area image; respectively acquiring a generation rule corresponding to the text content in each certificate area image according to the area type of each certificate area image; and judging whether each text content obtained by text recognition accords with a generation rule of the text content in the certificate area image or not so as to obtain a first recognition processing result corresponding to each certificate area image.
The text content refers to a text field in the certificate area image, for example, "name a certain person", "national identification number 110102YYYYMMDD 888X", and the like.
The generation rule of the text content refers to the generation rule of the text field, for example, for the citizen identification number, the generation rule is composed of 18 digits, the first 1/2 digits represent the province code, the first 3/4 digits represent the city code, the first 5/6 digits represent the district code, the 7 th to 14 digits represent the date of birth, the 15/16 digits represent the place code, the 17 th digit represents the sex, the singular number represents the male, the double number represents the female, the 18 th digit is the check code and is represented by 0 to 9, and the 10 is represented by X.
In this embodiment, the server may identify the text content, then obtain a generation rule of the text content of each certificate area image according to the area type to which the certificate area image belongs, then judge the identified text content, and generate the first identification processing result.
Alternatively, the server may determine the text content of a certain document region image in combination with the text contents of a plurality of document region images, and generate a first recognition processing result corresponding to the document region image, for example, for a citizen identification number, the server may determine whether a corresponding number in the citizen identification conforms to a generation rule of the corresponding text content based on a character recognition result of the recognized gender, place of birth, year and month of birth, and the like.
In the above embodiment, the text content is obtained by performing text recognition on each certificate area image, then the generation rule corresponding to the text content in each certificate area image is respectively obtained according to the area type to which each certificate area image belongs, and the judgment is performed, so that the text content can be accurately judged based on the generation rule of the text content, and the accuracy of the generated first recognition processing result is improved
In one embodiment, performing image recognition on each document area image to obtain a second recognition processing result of each document area image may include: carrying out image recognition on each certificate area image to obtain image characteristics of text content in each certificate area image; and obtaining a second identification processing result corresponding to each certificate area image according to each image characteristic.
The image feature refers to an image feature of each text content in the area image, for example, for the text content, whether the text is inclined, how many characters the space between the text is, and the like.
Specifically, the server may identify each certificate area image, and then obtain image characteristics of text content in the certificate area image to obtain a corresponding second identification processing result.
In the embodiment, the image characteristics of the text content are obtained by performing the image recognition, so that whether the image characteristics of the text content are changed or not can be accurately judged, the generation of counterfeit certificate images through a PS (packet switched) or equivalent mode is avoided, and the recognition accuracy is improved.
In one embodiment, before performing segmentation processing on the document image to be verified to obtain a plurality of document region images, the method may further include: and identifying the certificate type of the certificate image to be verified to obtain the certificate type of the certificate image to be verified.
As previously mentioned, the image of the document to be authenticated may refer to an image of a plurality of different standard types of documents, and may include, but is not limited to, identification cards, passports, military certificates, Return to the country in Port and Macau, Taicytosis certificates, driver's licenses, and the like.
In this embodiment, before the server performs the segmentation process on the document image to be verified, the identification determination of the document type may be performed by performing a document type identification model, for example, for an identity card and a passport, an object photograph of the identity card is at the upper right position, an object photograph of the passport is at the upper left position, an identity card front image includes contents of 7 different regions, and a passport front image includes contents of more than 7 different regions. So that the certificate type of the certificate image to be verified can be judged according to the position information, the quantity information and the like.
In this embodiment, the segmenting process is performed on the document image to be verified to obtain a plurality of document area images, and the segmenting process may include: and carrying out segmentation processing on the certificate image to be verified through a pre-trained image segmentation model corresponding to the certificate type to obtain a plurality of segmented certificate area images.
Further, the server may select an image segmentation model corresponding to the document type according to the document type of the document image to be verified, and perform segmentation processing on the document image to be verified, for example, if the document image to be verified is an identity card, an identity card segmentation model for segmenting the identity card image is selected, and if the document image to be verified is a passport, a passport segmentation model for segmenting the passport image is selected.
In the embodiment, the certificate type of the certificate image to be verified is identified, and then the corresponding image segmentation model is selected to segment the certificate image to be verified, so that the image segmentation model can only segment the certificate image to be verified of one certificate type, the segmentation is more targeted, the identification and segmentation accuracy is improved, the learning difficulty of the model can be reduced, and the learning efficiency of the model is improved.
In one embodiment, before performing segmentation processing on the document image to be verified to obtain a plurality of area images, the method may further include: and adjusting the acquired certificate image to be verified to a preset size to obtain the certificate image to be verified which meets the preset size requirement.
Specifically, the image of the document to be verified acquired by the server may be an image with a different size, and the server may adjust the image of the document to be verified to a preset size, for example, the image may be the actual size of the document, and for example, for an identity card, the preset size may be 85.6mm × 54. mm.
Alternatively, the server may adjust the acquired pending document image to the input size requirements required for the segmentation model, e.g., 865 × 540, etc. In this embodiment, the size of the certificate image to be detected acquired by the server may not be consistent with the size required by the image segmentation model, and the server may perform amplification or reduction processing on the certificate image to be detected, so that the size of the certificate image to be verified is consistent with the preset size.
Optionally, the certificate image to be detected acquired by the server may be an oblique image, and the server may perform rotation processing and the like on the acquired certificate image to be verified to obtain a corrected certificate image to be processed.
In this embodiment, the segmenting process is performed on the document image to be verified to obtain a plurality of document area images, and the segmenting process may include: and carrying out segmentation processing on the certificate image to be verified which meets the preset size requirement to obtain a plurality of certificate area images.
Specifically, the server may input the resized certificate image to be verified into the trained image cutting model, so as to output a plurality of certificate area images through the image cutting model.
In the above embodiment, the image size of the certificate image to be detected is adjusted, and then the certificate image to be detected is cut, so that the certificate image to be processed after being input and adjusted can meet certain size requirements, the accuracy of segmentation processing can be improved, and the accuracy of verification can be improved.
In one embodiment, the performing the identification processing on each certificate area image through each processing mode may include: and identifying and processing each certificate area image in parallel by a corresponding processing mode of each certificate area image.
Specifically, the server may perform recognition processing on each corresponding certificate area image by each recognition processing method in a parallel manner, for example, each certificate area image is processed by a recognition processing method corresponding to a name area image, a gender area image, a date of birth area image, a certificate type area image, and a certificate number area image.
In this embodiment, at least one of the certificate image to be verified, each certificate area image, the position information of each certificate area image on the certificate image to be verified, the area type of each certificate area image, the identification processing result of each certificate area image, and the verification result of the certificate image to be verified is stored in the block chain.
Specifically, in order to further ensure the privacy and security of the data, the server may store the certificate image to be verified, each certificate area image, the position information of each certificate area image on the certificate image to be verified, the area type of each certificate area image, the identification processing result of each certificate area image, and the verification result of the certificate image to be verified in the nodes of the block.
In this embodiment, the blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block.
In this embodiment, the blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
In the embodiment, the identification processing is performed on the certificate area images in parallel, so that the identification processing processes of a plurality of certificate area images of the same certificate image to be processed can be performed in parallel, the data processing time can be saved, and the identification processing efficiency can be improved.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in FIG. 4, there is provided a document authentication device based on image recognition, comprising: the certificate image verification system comprises a certificate image acquisition module to be verified 100, a segmentation processing module 200, an area type determination module 300, an identification processing module 400 and a verification result generation module 500, wherein:
and the certificate image acquisition module 100 is used for acquiring the certificate image to be verified.
And the segmentation processing module 200 is configured to perform segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images.
The area type determining module 300 is configured to acquire position information of each certificate area image on the certificate image to be verified, and determine an area type to which each certificate area image belongs according to the acquired position information.
And the identification processing module 400 is configured to determine a processing mode corresponding to each certificate area image according to the area type to which each certificate area image belongs, and perform identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image.
The verification result generating module 500 is configured to generate a verification result of the certificate image to be verified according to the recognition processing result of the multiple certificate area images of the certificate image to be verified.
In one embodiment, the recognition processing module 400 may include:
and the first identification processing result generation sub-module is used for performing text identification on each certificate area image to obtain a first identification processing result corresponding to each certificate area image.
The second identification processing result generation submodule is used for carrying out image identification on each certificate area image to obtain a second identification processing result of each certificate area image;
and the third identification processing result generation submodule is used for counting the first identification processing result and the second identification processing result of each certificate area image to obtain the identification processing result of each certificate area image.
In one embodiment, the first recognition processing result generation sub-module may include:
and the text content generating unit is used for performing text recognition on each certificate area image to obtain the text content in each certificate area image.
And the generation rule acquisition unit is used for respectively acquiring the generation rules corresponding to the text contents in the certificate area images according to the area types of the certificate area images.
And the judging unit is used for judging whether each text content obtained by text recognition accords with the generation rule of the text content in the certificate area image so as to obtain a first recognition processing result corresponding to each certificate area image.
In one embodiment, the second recognition processing result generation sub-module may include:
and the image recognition unit is used for carrying out image recognition on each certificate area image to obtain the image characteristics of the text content in each certificate area image.
And the second identification result generation unit is used for obtaining a second identification processing result corresponding to each certificate area image according to each image characteristic.
In one embodiment, the apparatus may further include:
and the certificate type determining module is used for identifying the certificate type of the certificate image to be verified to obtain the certificate type of the certificate image to be verified before the segmentation processing module 200 performs segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images.
In this embodiment, the segmentation processing module 200 may be configured to perform segmentation processing on the certificate image to be verified through a pre-trained image segmentation model corresponding to the certificate type, so as to obtain a plurality of segmented certificate area images.
In one embodiment, the apparatus may further include:
and the size adjusting module is used for adjusting the acquired certificate image to be verified to a preset size before the segmentation processing module 200 performs segmentation processing on the certificate image to be verified to obtain a plurality of area images so as to obtain the certificate image to be verified meeting the preset size requirement.
In this embodiment, the segmentation processing module 200 is configured to perform segmentation processing on a document image to be verified that meets a preset size requirement, so as to obtain a plurality of document area images.
In one embodiment, the identification processing module 400 performs identification processing on each certificate area image in parallel by using a processing mode corresponding to each certificate area image.
In this embodiment, at least one of the certificate image to be verified, each certificate area image, the position information of each certificate area image on the certificate image to be verified, the area type of each certificate area image, the identification processing result of each certificate area image, and the verification result of the certificate image to be verified is stored in the block chain.
For specific definition of the certificate verification device based on image recognition, the above definition of the certificate verification method based on image recognition can be referred to, and the detailed description is omitted here. The various modules in the image recognition-based credential verification device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing data such as a certificate image to be verified, a certificate area image, position information, a recognition processing result of the certificate area image, a verification result and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of document authentication based on image recognition.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program: acquiring a certificate image to be verified; carrying out segmentation processing on a certificate image to be verified to obtain a plurality of certificate area images; acquiring the position information of each certificate area image on the certificate image to be verified, and determining the area type of each certificate area image according to the acquired position information; determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and respectively carrying out identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image; and generating a verification result of the certificate image to be verified according to the identification processing result of the plurality of certificate area images of the certificate image to be verified.
In one embodiment, when the processor executes the computer program, determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and performing identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image may include: performing text recognition on each certificate area image to obtain a first recognition processing result corresponding to each certificate area image; carrying out image recognition on each certificate area image to obtain a second recognition processing result of each certificate area image; and counting the first identification processing result and the second identification processing result of each certificate area image to obtain the identification processing result of each certificate area image.
In one embodiment, the performing, by the processor, text recognition on each certificate area image when executing the computer program to obtain a first recognition processing result corresponding to each certificate area image may include: performing text recognition on each certificate area image to obtain text contents in each certificate area image; respectively acquiring a generation rule corresponding to the text content in each certificate area image according to the area type of each certificate area image; and judging whether each text content obtained by text recognition accords with a generation rule of the text content in the certificate area image or not so as to obtain a first recognition processing result corresponding to each certificate area image.
In one embodiment, the performing, by the processor, image recognition on each document area image when executing the computer program to obtain a second recognition processing result of each document area image may include: carrying out image recognition on each certificate area image to obtain image characteristics of text content in each certificate area image; and obtaining a second identification processing result corresponding to each certificate area image according to each image characteristic.
In one embodiment, before the processor performs segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images when executing the computer program, the following steps may be further implemented: and identifying the certificate type of the certificate image to be verified to obtain the certificate type of the certificate image to be verified. The processor, when executing the computer program, implements segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images, and may include: and carrying out segmentation processing on the certificate image to be verified through a pre-trained image segmentation model corresponding to the certificate type to obtain a plurality of segmented certificate area images.
In one embodiment, before the processor executes the computer program to perform the segmentation processing on the certificate image to be verified to obtain the plurality of area images, the following steps may be further implemented: and adjusting the acquired certificate image to be verified to a preset size to obtain the certificate image to be verified which meets the preset size requirement. The processor, when executing the computer program, implements segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images, and may include: and carrying out segmentation processing on the certificate image to be verified which meets the preset size requirement to obtain a plurality of certificate area images.
In one embodiment, the implementing, by the processor when executing the computer program, the identification processing on each certificate area image by each processing mode respectively may include: and identifying and processing each certificate area image in parallel by a corresponding processing mode of each certificate area image. At least one of the certificate image to be verified, each certificate area image, the position information of each certificate area image on the certificate image to be verified, the area type of each certificate area image, the identification processing result of each certificate area image and the verification result of the certificate image to be verified is stored in the block chain.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: acquiring a certificate image to be verified; carrying out segmentation processing on a certificate image to be verified to obtain a plurality of certificate area images; acquiring the position information of each certificate area image on the certificate image to be verified, and determining the area type of each certificate area image according to the acquired position information; determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and respectively carrying out identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image; and generating a verification result of the certificate image to be verified according to the identification processing result of the plurality of certificate area images of the certificate image to be verified.
In one embodiment, when executed by the processor, the computer program implements determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and performs recognition processing on each certificate area image through each processing mode to obtain a recognition processing result of each certificate area image, and may include: performing text recognition on each certificate area image to obtain a first recognition processing result corresponding to each certificate area image; carrying out image recognition on each certificate area image to obtain a second recognition processing result of each certificate area image; and counting the first identification processing result and the second identification processing result of each certificate area image to obtain the identification processing result of each certificate area image.
In one embodiment, when executed by the processor, the computer program implements text recognition on each document region image to obtain a first recognition processing result corresponding to each document region image, and may include: performing text recognition on each certificate area image to obtain text contents in each certificate area image; respectively acquiring a generation rule corresponding to the text content in each certificate area image according to the area type of each certificate area image; and judging whether each text content obtained by text recognition accords with a generation rule of the text content in the certificate area image or not so as to obtain a first recognition processing result corresponding to each certificate area image.
In one embodiment, the computer program, when executed by the processor, performs image recognition on each document area image to obtain a second recognition processing result of each document area image, and may include: carrying out image recognition on each certificate area image to obtain image characteristics of text content in each certificate area image; and obtaining a second identification processing result corresponding to each certificate area image according to each image characteristic.
In one embodiment, when executed by the processor, the computer program may further implement the following steps before performing segmentation processing on the document image to be verified to obtain a plurality of document region images: and identifying the certificate type of the certificate image to be verified to obtain the certificate type of the certificate image to be verified. The computer program, when executed by the processor, implements segmentation processing on the document image to be verified to obtain a plurality of document region images, and may include: and carrying out segmentation processing on the certificate image to be verified through a pre-trained image segmentation model corresponding to the certificate type to obtain a plurality of segmented certificate area images.
In one embodiment, when executed by the processor, the computer program may further implement the following steps before performing segmentation processing on the document image to be verified to obtain a plurality of region images: and adjusting the acquired certificate image to be verified to a preset size to obtain the certificate image to be verified which meets the preset size requirement. The computer program, when executed by the processor, implements segmentation processing on the document image to be verified to obtain a plurality of document region images, and may include: and carrying out segmentation processing on the certificate image to be verified which meets the preset size requirement to obtain a plurality of certificate area images.
In one embodiment, the computer program, when executed by the processor, implements the identification processing on each certificate area image by each processing mode, and may include: and identifying and processing each certificate area image in parallel by a corresponding processing mode of each certificate area image. At least one of the certificate image to be verified, each certificate area image, the position information of each certificate area image on the certificate image to be verified, the area type of each certificate area image, the identification processing result of each certificate area image and the verification result of the certificate image to be verified is stored in the block chain.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of document verification based on image recognition, the method comprising:
acquiring a certificate image to be verified;
carrying out segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images;
acquiring the position information of each certificate area image on the certificate image to be verified, and determining the area type of each certificate area image according to the acquired position information;
determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and respectively performing identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image;
and generating a verification result of the certificate image to be verified according to the identification processing result of the plurality of certificate area images of the certificate image to be verified.
2. The method as claimed in claim 1, wherein the determining a processing mode corresponding to each document region image according to the region type of each document region image, and performing identification processing on each document region image through each processing mode to obtain an identification processing result of each document region image comprises:
performing text recognition on each certificate area image to obtain a first recognition processing result corresponding to each certificate area image;
performing image recognition on each certificate area image to obtain a second recognition processing result of each certificate area image;
and counting a first recognition processing result and a second recognition processing result of each certificate area image to obtain a recognition processing result of each certificate area image.
3. The method of claim 2, wherein performing text recognition on each document region image to obtain a first recognition processing result corresponding to each document region image comprises:
performing text recognition on each certificate area image to obtain text contents in each certificate area image;
respectively acquiring a generation rule corresponding to the text content in each certificate area image according to the area type of each certificate area image;
and judging whether each text content obtained by text recognition accords with a generation rule of the text content in the certificate area image or not so as to obtain a first recognition processing result corresponding to each certificate area image.
4. The method of claim 2, wherein the performing image recognition on each document area image to obtain a second recognition processing result of each document area image comprises:
performing image recognition on each certificate area image to obtain image characteristics of text content in each certificate area image;
and obtaining a second identification processing result corresponding to each certificate area image according to each image characteristic.
5. The method as claimed in claim 1, wherein before the step of performing the segmentation process on the document image to be verified to obtain a plurality of document region images, the method further comprises:
identifying the certificate type of the certificate image to be verified to obtain the certificate type of the certificate image to be verified;
the step of segmenting the certificate image to be verified to obtain a plurality of certificate area images comprises the following steps:
and carrying out segmentation processing on the certificate image to be verified through a pre-trained image segmentation model corresponding to the certificate type to obtain a plurality of segmented certificate area images.
6. The method as claimed in claim 1, wherein before the step of performing the segmentation process on the document image to be verified to obtain the plurality of region images, the method further comprises:
adjusting the acquired certificate image to be verified to a preset size to obtain the certificate image to be verified which meets the preset size requirement;
the step of segmenting the certificate image to be verified to obtain a plurality of certificate area images comprises the following steps:
and carrying out segmentation processing on the certificate image to be verified which meets the preset size requirement to obtain a plurality of certificate area images.
7. The method of claim 1, wherein the performing the identification process on each document region image by each process mode comprises:
identifying each certificate area image in parallel by a corresponding processing mode of each certificate area image;
at least one of the certificate image to be verified, each certificate area image, the position information of each certificate area image on the certificate image to be verified, the area type of each certificate area image, the identification processing result of each certificate area image and the verification result of the certificate image to be verified is stored in a block chain.
8. An image recognition based document authentication device, the device comprising:
the certificate image acquisition module to be verified is used for acquiring a certificate image to be verified;
the segmentation processing module is used for carrying out segmentation processing on the certificate image to be verified to obtain a plurality of certificate area images;
the area type determining module is used for acquiring the position information of each certificate area image on the certificate image to be verified and determining the area type of each certificate area image according to the acquired position information;
the identification processing module is used for determining a processing mode corresponding to each certificate area image according to the area type of each certificate area image, and respectively carrying out identification processing on each certificate area image through each processing mode to obtain an identification processing result of each certificate area image;
and the verification result generation module is used for generating the verification result of the certificate image to be verified according to the identification processing result of the plurality of certificate area images of the certificate image to be verified.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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