WO2018120459A1

WO2018120459A1 - Method, apparatus and device for verifying authenticity of image, and storage medium and service end

Info

Publication number: WO2018120459A1
Application number: PCT/CN2017/078001
Authority: WO
Inventors: 王健宗; 肖京
Original assignee: 平安科技（深圳）有限公司
Priority date: 2016-12-28
Filing date: 2017-03-24
Publication date: 2018-07-05
Also published as: CN106709963B; CN106709963A

Abstract

Disclosed is a method for verifying the authenticity of an image. The method comprises: when a client acquires an image, calculating a hash value of a pixel of the image so as to obtain a hash fingerprint of the image; acquiring identification information for identifying the image, splicing the identification information and the hash fingerprint into an authentication identification, and adding same into the image; and sending the image containing the authentication identification to a service end, so that the service end verifies the authenticity of the image according to the authentication identification in the image. Further disclosed are an apparatus and device for verifying the authenticity of an image, and a computer-readable storage medium. The present invention uniquely identifies an image by obtaining a hash fingerprint of the image by means of a pixel of the image and adding identification information about the image on the basis of the hash fingerprint, so as to recognize whether the image has been illegally tampered with, and thus guarantee the authenticity of the image.

Description

Method, device, device, storage medium and server for verifying the authenticity of an image

Technical field

The present invention relates to the field of image technologies, and in particular, to a method, an apparatus, a device, and a computer readable storage medium for verifying the authenticity of an image.

Background technique

Many existing business scenarios require the user to provide various certificates for identity authentication. In the process of identity authentication through the certificate, in addition to verifying the original, the document needs to be photographed, and the image of the captured document is stored for subsequent verification. However, many illegal elements will maliciously tamper with the image of the documents in order to obtain improper benefits.

In order to identify the falsified image, the existing method generally adds a watermark to the image, and determines whether the image has been tampered by detecting the integrity of the watermark. However, with the development of image editing technology, illegal molecules can re-add the same watermark in the image after tampering with the image, which makes it impossible to identify the image that has been tampered with by illegal molecules, and cannot guarantee the authenticity of the image.

Summary of the invention

The main object of the present invention is to provide a method, device, device and computer readable storage medium for verifying the authenticity of an image, which aims to solve the technical problem that the method for verifying the authenticity of an image cannot guarantee the authenticity of the image.

To achieve the above object, the present invention provides a method for verifying the authenticity of an image, and the method for verifying the authenticity of an image includes:

When the client obtains an image, calculating a hash value of the image pixel to obtain a hash fingerprint of the image;

Obtaining identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier to be added to the image;

Sending the image containing the authentication identifier to the server, so that the server verifies the authenticity of the image according to the authentication identifier in the image.

In addition, in order to achieve the above object, the present invention further provides an apparatus for verifying the authenticity of an image, and the apparatus for verifying the authenticity of the image includes:

a calculation module, configured to calculate a hash value of the image pixel when the image is acquired, to obtain a hash fingerprint of the image;

a splicing module, configured to acquire identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier to be added to the image;

And a sending module, configured to send the image that includes the authentication identifier to the server, so that the server verifies the authenticity of the image according to the authentication identifier in the image.

In addition, in order to achieve the above object, the present invention further provides an apparatus for verifying the authenticity of an image, and the apparatus for verifying the authenticity of the image comprises a processor, a network interface, a memory, and a communication bus;

The communication bus is configured to implement connection communication between a processor, a network interface, and a memory;

The network interface is configured to connect to a server, and perform data communication with the server;

The processor is configured to execute a verification image authenticity program stored in the memory to implement the following steps:

When the image is acquired, calculating a hash value of the image pixel to obtain a hash fingerprint of the image;

Moreover, in order to achieve the above object, the present invention also provides a computer readable storage medium storing one or more programs, the one or more programs being executable by one or more processors To achieve the following steps:

In addition, in order to achieve the above object, the present invention further provides a server for verifying the authenticity of an image, the server is connected to a client, wherein the client calculates the image pixel when acquiring an image. a hash value, obtaining a hash fingerprint of the image; acquiring identification information identifying the image, stitching the identification information and the hash fingerprint into an authentication identifier, adding to the image; and including the authentication identifier Sending the image to the server;

The server is used to:

Receiving the image sent by the client, obtaining an authentication identifier of the image, and determining whether the device name in the authentication identifier is consistent with a pre-stored device name;

If the device name is inconsistent with the pre-stored device name, determining that the image is a forged image;

If the device name is consistent with the pre-stored device name, calculating a hash fingerprint of the image;

If the calculated hash fingerprint does not match the hash fingerprint in the authentication identifier, determining that the image is a forged image;

If the calculated hash fingerprint is consistent with the hash fingerprint in the authentication identifier, determine whether the redundant string in the authentication identifier is consistent with the pre-stored redundant string;

If the redundant character string is inconsistent with the pre-stored redundant character string, determining that the image is a forged image;

And if the redundant character string is consistent with the pre-stored redundant character string, determining that the image is a real image.

The invention calculates a hash value of the pixel of the received image by the client, obtains a hash fingerprint of the image, and splices the obtained identification information and the hash fingerprint into an authentication identifier, adds the image to the image, and sends the identifier And the server is configured to verify, by the server, the authenticity of the image according to the authentication identifier in the image. A hash fingerprint of the image is obtained by pixels of the image, and the image identification information is added to the hash fingerprint to uniquely identify the image, thereby identifying whether the image is falsified by an illegal molecule, and ensuring that the image is The authenticity of the image.

DRAWINGS

1 is a schematic flow chart of a preferred embodiment of a method for verifying image authenticity according to the present invention;

2 is a schematic flowchart of obtaining identification information identifying the image in the embodiment of the present invention, and splicing the identification information and the hash fingerprint into an authentication identifier to be added to the image;

3 is a schematic diagram of functional modules of a preferred embodiment of an apparatus for verifying image authenticity according to the present invention;

4 is a schematic diagram of a functional module of a splicing module according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of a device in a hardware operating environment according to an embodiment of the present invention.

The implementation, functional features, and advantages of the present invention will be further described in conjunction with the embodiments.

detailed description

It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The present invention provides a method of verifying the authenticity of an image.

Referring to FIG. 1, FIG. 1 is a schematic flow chart of a method for verifying the authenticity of an image according to a preferred embodiment of the present invention.

In this embodiment, the method for verifying the authenticity of the image includes:

Step S10: When the client acquires an image, calculate a hash value of the image pixel to obtain a hash fingerprint of the image.

When the client obtains the image, the client calculates a hash value of the image by using the pixel value of the image, and obtains a hash fingerprint of the image according to the calculated hash value. It should be noted that, in this embodiment, the image pixel-based fingerprint extraction algorithm is used to obtain the hash value of the image. Compared with calculating the hash value of the image by the cryptographic hash function algorithm, the image pixel-based fingerprint extraction algorithm in this embodiment can avoid a large change of the hash value of the image due to a small change. The calculated stability of the image hash value is guaranteed. The cryptographic hash function algorithm is extremely sensitive to the input source, and very subtle changes in the input can cause significant changes in the calculated hash value. But sometimes you need to do some harmless operations on the image, such as zooming in or out, but the actual content may not change, but the hash value of the cryptographic hash function output will change greatly, and based on image pixels. The fingerprint extraction algorithm does not have this problem.

Further, the step S10 includes:

Step a, when the client acquires the image, pre-process the image to obtain the pre-processed image.

When the client obtains the image, in calculating a hash fingerprint of the image, the image needs to be pre-processed to obtain the pre-processed image.

Further, the step a includes:

Step a1, when the client acquires the image, performing grayscale processing on the image to obtain the grayscale image;

When the client obtains the image, the specific process of the client pre-processing the image is: when the client acquires the image, the client performs graying on the image. The image is processed to obtain the grayed out image. The grayscale is in the RGB model, if R (red) = G (green) = B (blue), then the color represents a grayscale color, wherein the value of R = G = B is called the gray value, Therefore, each pixel of the grayscale image only needs one byte to store the gray value (also called the intensity value and the brightness value), and the gray scale range is 0-255. Generally, the following four methods are used to grayscale the color image, respectively. For the component method, Maximum method, average method and weighted average method.

Step a2, reducing the grayscale image to a preset ratio to obtain the reduced image;

The client reduces the grayscale image to a preset ratio to obtain the reduced image. It should be noted that the preset ratio is set according to specific needs, such as when set to 8*8, indicating that the grayscale image is reduced to a scale of 8*8.

In step a3, the reduced image is subjected to discrete cosine transform to obtain the preprocessed image.

After the client obtains the reduced image, the client performs discrete cosine transform on the reduced image to obtain the preprocessed image. The discrete cosine transform is a transform associated with a Fourier transform that is similar to a discrete Fourier transform, but a discrete cosine transform uses only real numbers. The discrete cosine transform is equivalent to a discrete Fourier transform of approximately twice the length. This discrete Fourier transform is performed on a real function (because the Fourier transform of a real function is still a real Even function), in some variants, you need to move the position of the input or output by half a unit.

Step b, calculating a mean value of the pre-processed image pixels, and comparing the pixel values of the pre-processed image pixels to the average value.

In step c, if the pixel value of the pixel is greater than the average, the pixel value of the pixel is set to 1.

In step d, if the pixel value of the pixel is less than or equal to the average, the pixel value of the pixel is set to 0.

Step e, generating a hash fingerprint of the image according to pixel points having pixel values of 1 and 0.

After the client obtains the pre-processed image, the client extracts pixel values of respective pixels in the pre-processed image, and divides the sum of pixel values of the respective pixel points by the image. The number of pixels is obtained as the average of the image pixels after preprocessing. The client compares the pixel values of the respective pixels of the preprocessed image with the mean of the image pixels. When the pixel value of the image pixel is greater than the average of the image pixel, the client sets the pixel value of the image pixel to 1; when the pixel value of the image pixel is less than or equal to the image When the average of the pixels, the client sets the pixel value of the image pixel to 0. The client generates a hash fingerprint of the image based on pixel points having pixel values of 1 and 0.

In step S20, the identification information identifying the image is obtained, and the identification information and the hash fingerprint are spliced into an authentication identifier and added to the image.

When the client obtains a hash fingerprint of the image, the client acquires identification information for identifying the image, and the identifier information and the hash fingerprint are spliced into an authentication identifier, and the authentication is performed. An identification is added to the image. It can be understood that the identification information is an identifier that can uniquely represent the image.

Further, the identification information includes a device name and a redundant character string for acquiring the image. The redundant string can be freely set as needed, such as AABB_1122. In the process of splicing the identification information and the hash fingerprint into an authentication identifier, the client may distinguish the hash fingerprint, the device name, and the redundant character string by special characters. The special characters include, but are not limited to, "#" and "/". For example, when img_footPrint is used to represent the hash fingerprint of the image, APP_name is used to represent the device name of the image, and when the redundant string is represented by redundant_str, the authentication identifier may be represented as APP_name#img_footPrint#redundant_str. It should be noted that, in the authentication identifier, the order of arrangement of the hash fingerprint, the device name, and the redundant character string is not limited. For example, the authentication identifier may also be expressed as img_footPrint#APP_name#redundant_str, or expressed as img_footPrint. #redundant_str#APP_name.

Step S30: Send the image containing the authentication identifier to the server, so that the server verifies the authenticity of the image according to the authentication identifier in the image.

After the client obtains the image containing the authentication identifier, the image containing the authentication identifier is sent to the server. After the server receives the image sent by the client, the server verifies the authenticity of the image according to the authentication identifier in the image. It can be understood that in the present application, the server can be a stand-alone server or a service platform that implements corresponding functions.

Further, when the identifier information includes the device name and the redundant character string of the image, the step of the server for verifying the authenticity of the image according to the authentication identifier in the image includes:

Step f: The server receives the image sent by the client, obtains an authentication identifier of the image, and determines whether the device name in the authentication identifier is consistent with a pre-stored device name.

Step g, if the device name does not match the pre-stored device name, determining that the image is a forged image;

Step h, if the device name is consistent with the pre-stored device name, calculating a hash fingerprint of the image;

When the identification information includes the device name and the redundant character string of the image, and the server receives the image sent by the client, the server acquires the authentication identifier in the image, Splitting the authentication identifier to obtain a device name, a redundant character string, and a hash fingerprint in the authentication identifier. Further, in the process of splitting the authentication identifier, the server may split the authentication identifier by using the special character.

When the server obtains the device name, the redundancy string, and the hash fingerprint in the authentication identifier, the server determines whether the device name in the authentication identifier is consistent with the pre-stored device name. When the device name in the authentication identifier is inconsistent with the pre-stored device name, the server determines that the image is not captured by the specified device, and is a forged image; when the device name in the authentication identifier is When the pre-stored device names are consistent, the server calculates a hash fingerprint of the image. It should be noted that the process of calculating the hash fingerprint of the image by the server and the hash value of the image pixel by the client to obtain the hash fingerprint of the image is the same, and details are not described herein again.

Step i: if the calculated hash fingerprint is inconsistent with the hash fingerprint in the authentication identifier, determining that the image is a forged image;

Step j: If the calculated hash fingerprint is consistent with the hash fingerprint in the authentication identifier, determine whether the redundant string in the authentication identifier is consistent with the pre-stored redundant string;

Step k, if the redundant character string is inconsistent with the pre-stored redundant character string, determining that the image is a forged image;

Step 1. If the redundant character string is consistent with the pre-stored redundant character string, determine that the image is a real image.

When the server calculates a hash fingerprint of the image, the server compares the calculated hash fingerprint with the hash fingerprint in the authentication identifier. When the calculated hash fingerprint is inconsistent with the hash fingerprint in the authentication identifier, the server determines that the image is illegally falsified, is a forged image; when the calculated hash fingerprint and the authentication When the hash fingerprints in the identifiers are consistent, the server determines whether the redundant character string in the authentication identifier is consistent with the pre-stored redundant character string. When the redundant character string in the authentication identifier is inconsistent with the pre-stored redundant character string, the server determines that the image is a forged image; when the redundant character string in the authentication identifier and the pre-stored When the redundant strings are identical, the server determines that the image is a real image. It should be noted that the pre-stored device name and the pre-stored redundant character string are sent by the client to the server before sending the authentication identifier.

Further, when the server determines that the image is a real image, the server sends a message that the verification is successful to the client. After the client receives the message that the verification is successful, the client continues to perform the next operation, such as performing an account opening operation. When the server determines that the image is a forged image, the server sends a message that the verification fails to the client. After the client receives the message that the verification fails, the client outputs a prompt message prompting the user to retake the image or re-upload the image.

In this embodiment, the hash value of the pixel of the received image is calculated by the client, and the hash fingerprint of the image is obtained, and the obtained identification information and the hash fingerprint are spliced into an authentication identifier and added to the image, and Sending to the server, for the server to verify the authenticity of the image according to the authentication identifier in the image. A hash fingerprint of the image is obtained by pixels of the image, and the image identification information is added to the hash fingerprint to uniquely identify the image, thereby identifying whether the image is falsified by an illegal molecule, and ensuring that the image is The authenticity of the image.

Further, a preferred embodiment of the method for verifying the authenticity of an image according to the present invention provides another embodiment of the present invention. Referring to FIG. 2, in the embodiment, the step S20 includes:

Step S21: Obtain identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier.

Step S22, generating an encryption key by using a symmetric encryption algorithm;

After the client obtains the identifier information that identifies the image, the client splices the identifier information and the hash fingerprint into an authentication identifier, and sends an authentication request to the server. When the server receives the authentication request, the server obtains a corresponding public key and a private key according to an asymmetric encryption algorithm, stores the private key, and sends the public key to the client. The client receives the public key and generates an encryption key through a symmetric encryption algorithm. The client may first send an authentication request to the server, and then generate an encryption key by using the symmetric encryption algorithm, or first generate an encryption key by using the symmetric encryption algorithm, and then send an authentication request to the server. Server. It should be noted that the symmetric encryption algorithm includes but is not limited to DES (Data Encryption Standard, Data Encryption Standard), 3DES, IDEA (International Data Encryption) Algorithm) and AES (Advanced Encryption) Standard, Advanced Encryption Standard), including but not limited to RSA, Elgamal, and Elliptical Encryption Algorithm ECC.

Step S23, encrypting the authentication identifier by using the encryption key, and encrypting the encryption key by using a public key sent by the server;

Step S24, adding the encrypted authentication identifier and the encrypted encryption key to the image.

After the server obtains the encryption key, the server encrypts the authentication identifier by using the encryption key, and encrypts the encryption key by using a public key sent by the server to obtain an encrypted The authentication identifier and the encrypted encryption key add the encrypted authentication identifier and the encrypted encryption key to the image.

Further, the specific process of the client adding the encrypted authentication identifier to the image is: the client adds the encrypted authentication identifier to the header file header attached to the image, Specifically added to the name in the Header Make Tag information. It should be noted that the header area of the image and the data area are independent of each other, and therefore, after the authentication identifier is added to the image, the content of the image data area is not affected. After adding the encrypted authentication identifier to the image, the client encrypts the encryption key using the public key, and adds the encrypted encryption key to the image attachment The header file header is specifically added to the header in the header. The tag information of the MODEL. When the server obtains the image, it is named in the header of the image. The encrypted authentication information is extracted from the tag information of the Make, and the encrypted encryption key is extracted from the Tag information named MODEL in the header of the image. After the server obtains the encrypted encryption key, the server decrypts the encrypted encryption key by using a private key corresponding to the public key to obtain the encryption key, and obtains the encryption key. The encryption key decrypts the authentication identifier extracted in the tag information of the Make, and obtains the decrypted authentication identifier. The server splits the authentication identifier to obtain a device name, a redundant string, and a hash fingerprint in the authentication identifier.

In this embodiment, the authentication identifier is encrypted by the encryption key, and the encryption for encrypting the authentication identifier is encrypted to prevent the image from being tampered with by illegal molecules, thereby ensuring the security of the image during transmission.

It should be noted that those skilled in the art can understand that all or part of the steps of implementing the above embodiments may be completed by hardware, or may be instructed by a program to execute related hardware, and the program may be stored in a computer readable state. In the storage medium, the above-mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

The present invention further provides an apparatus 100 for verifying the authenticity of an image.

Referring to FIG. 3, FIG. 3 is a schematic diagram of functional modules of a device 100 for verifying the authenticity of an image according to a preferred embodiment of the present invention.

It should be emphasized that, for those skilled in the art, the block diagram shown in FIG. 3 is merely an exemplary diagram of a preferred embodiment, and those skilled in the art surround the module of the apparatus 100 for verifying the authenticity of the image shown in FIG. The new module can be easily supplemented; the name of each module is a custom name, and is used only to assist in understanding the various program function blocks of the device 100 for authenticating the verification image, and is not used to limit the technical solution of the present invention. At the heart of the solution is the functionality that each module that defines the name has to achieve.

In this embodiment, the apparatus 100 for verifying the authenticity of an image includes:

The calculating module 10 is configured to calculate a hash value of the image pixel when the image is acquired, to obtain a hash fingerprint of the image.

Further, the computing module 10 includes:

And a pre-processing unit, configured to: when the image is acquired, pre-process the image to obtain the pre-processed image.

Further, the pre-processing unit is further configured to: when the image is acquired, perform grayscale processing on the image to obtain the grayscale image;

The pre-processing unit is further configured to reduce the grayscale image to a preset ratio to obtain the reduced image.

The pre-processing unit is further configured to perform discrete cosine transform on the reduced image to obtain the pre-processed image.

And a calculating unit, configured to calculate a mean value of the pre-processed image pixels, and compare the pixel values of the pre-processed image pixels to the average value.

a setting unit, configured to: if a pixel value of the pixel point is greater than the average value, set a pixel value of the pixel point to 1; if a pixel value of the pixel point is less than or equal to the average value, a pixel of the pixel point The value is set to 0.

a first generating unit, configured to generate a hash fingerprint of the image according to pixel points with pixel values of 1 and 0.

The splicing module 20 is configured to obtain identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier to be added to the image.

The sending module 30 is configured to send the image that includes the authentication identifier to the server, so that the server verifies the authenticity of the image according to the authentication identifier in the image.

After the client obtains the image containing the authentication identifier, the image containing the authentication identifier is sent to the server. After the server receives the image sent by the client, the server verifies the authenticity of the image according to the authentication identifier in the image.

Further, when the identifier information includes a device name and a redundant character string for acquiring the image, the sending module 30 is further configured to send the image to the server, where the server receives the And obtaining an authentication identifier of the image, determining whether the device name in the authentication identifier is consistent with the pre-stored device name; if the device name is different from the pre-stored device name, determining that the image is a forged image; If the device name is consistent with the pre-stored device name, the hash fingerprint of the image is calculated; if the calculated hash fingerprint is inconsistent with the hash fingerprint in the authentication identifier, determining that the image is a forged image And if the calculated hash fingerprint is consistent with the hash fingerprint in the authentication identifier, determining whether the redundant string in the authentication identifier is consistent with the pre-stored redundant string; if the redundant string and the Determining that the pre-stored redundant string is inconsistent, determining that the image is a forged image; if the redundant string is consistent with the pre-stored redundant string, determining the map As a real image.

Further, a preferred embodiment of the apparatus 100 for verifying the authenticity of an image according to the present invention provides another embodiment of the present invention. Referring to FIG. 4, in the embodiment, the splicing module 20 includes:

The splicing unit 21 is configured to acquire identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier;

a second generating unit 22, configured to generate an encryption key by using a symmetric encryption algorithm;

The encryption unit 23 is configured to encrypt the authentication identifier by using the encryption key, and encrypt the encryption key by using a public key sent by the server;

The adding unit 24 is configured to add the encrypted authentication identifier and the encrypted encryption key to the image.

It should be noted that, in hardware implementation, the above computing module 10, the splicing module 20, the sending module 30, and the like may be embedded in or independent of the device for verifying the authenticity of the image in hardware, or may be stored in the verification image in software. The authenticity of the device's memory, so that the processor calls to perform the corresponding operations of the above modules. The processor can be a central processing unit (CPU), a microprocessor, a microcontroller, or the like.

Referring to FIG. 5, FIG. 5 is a schematic structural diagram of a device in a hardware operating environment according to an embodiment of the present invention.

The device for verifying the authenticity of the image in the embodiment of the present invention may be a PC, or may be a smart phone, a tablet computer, an e-book reader, and an MP3 (Moving). Picture Experts Group Audio Layer III, motion picture expert compresses standard audio layer 3) player, MP4 (Moving Picture Experts Group Audio Layer IV, dynamic video experts compress standard audio layers 3) terminal devices such as players and portable computers.

As shown in FIG. 5, the device for verifying the authenticity of the image may include a processor 1001, such as a CPU, a network interface 1004, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to implement connection communication between these components. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a WI-FI interface). The memory 1005 may be a high speed RAM memory or a stable memory (non-volatile) Memory), such as disk storage. The memory 1005 can also optionally be a storage device independent of the aforementioned processor 1001.

Optionally, the device for verifying the authenticity of the image may further include a user interface, a camera, and an RF (Radio) Frequency, RF) circuits, sensors, audio circuits, WiFi modules, and more. The user interface may include a display, an input unit such as a keyboard, and the optional user interface may also include a standard wired interface, a wireless interface. In this embodiment, the picture to be detected can be acquired by the camera.

It will be understood by those skilled in the art that the device structure for verifying the authenticity of the image shown in FIG. 5 does not constitute a limitation on the device for verifying the authenticity of the image, and may include more or less components than those illustrated, or may combine some Parts, or different parts.

As shown in FIG. 5, an operating system, a network communication module, and a verification image authenticity program may be included in the memory 1005 as a computer storage medium. Among them, the operating system is a program that manages and controls the device hardware and software resources for verifying the authenticity of the image, and supports the verification of the image authenticity program and the operation of other software and/or programs. The network communication module is used to implement communication between the memory 1005 and other hardware and software in the device that verifies the authenticity of the image.

In the device for verifying the authenticity of the image shown in FIG. 5, the network interface 1004 is mainly used to connect to the server and perform data communication with the server; the processor 1001 is configured to execute the verification image authenticity program stored in the memory 1005. Implement the following steps:

Further, the identifier information includes a device name and a redundant character string for acquiring the image, and the step for the server to verify the authenticity of the image according to the authentication identifier in the image includes:

Sending the image to the server, receiving the image by the server, acquiring an authentication identifier of the image, determining whether the device name in the authentication identifier is consistent with a pre-stored device name; If the name of the pre-stored device is inconsistent, the image is determined to be a forged image; if the device name is consistent with the pre-stored device name, the hash fingerprint of the image is calculated; if the calculated hash fingerprint and the image are Determining that the hash fingerprint in the authentication identifier is inconsistent, determining that the image is a forged image; and if the calculated hash fingerprint is consistent with the hash fingerprint in the authentication identifier, determining a redundant character in the authentication identifier Whether the string is consistent with the pre-stored redundant string; if the redundant string is inconsistent with the pre-stored redundant string, determining that the image is a forged image; if the redundant string and the pre-stored redundancy If the strings are consistent, then the image is determined to be a real image.

Further, when the client obtains an image, calculating a hash value of the image pixel, and obtaining a hash fingerprint of the image includes:

When the image is acquired, the image is preprocessed to obtain the preprocessed image;

Calculating a mean value of the image pixels after preprocessing, and comparing pixel values of respective pixels of the preprocessed image with the average value;

If the pixel value of the pixel is greater than the average, the pixel value of the pixel is set to 1;

If the pixel value of the pixel is less than or equal to the average, the pixel value of the pixel is set to 0;

A hash fingerprint of the image is generated from pixel points having pixel values of 1 and 0.

Further, when the client obtains the image, preprocessing the image to obtain the preprocessed image includes:

When the image is acquired, the image is subjected to grayscale processing to obtain the grayscale image;

Shrinking the grayscale image to a preset ratio to obtain the reduced image;

The reduced cosine transform is performed on the reduced image to obtain the preprocessed image.

Further, the step of acquiring the identification information that identifies the image, and the step of splicing the identification information and the hash fingerprint into an authentication identifier is added to the image, where

Obtaining identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier;

Generating an encryption key by a symmetric encryption algorithm;

Encrypting the authentication identifier by using the encryption key, and encrypting the encryption key by using a public key sent by the server;

The encrypted authentication identifier and the encrypted encryption key are added to the image.

The embodiment of the device for verifying the authenticity of the image is basically the same as the embodiment of the method and device for verifying the authenticity of the image, and details are not described herein again.

Further, the present invention provides a computer readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the following step:

Shrinking the grayscale image to a preset ratio to obtain the reduced image;

Generating an encryption key by a symmetric encryption algorithm;

The embodiment of the computer readable storage medium of the present invention is substantially the same as the embodiment of the method and apparatus for verifying the authenticity of the image, and details are not described herein again.

Further, the present invention further provides a server for verifying the authenticity of an image, the server is connected to a client, wherein the client calculates a hash value of the image pixel when acquiring an image. Obtaining a hash fingerprint of the image; acquiring identification information identifying the image, and splicing the identification information and the hash fingerprint into an authentication identifier, adding the image to the image; and sending the image containing the authentication identifier Give the server

The server is used to:

The embodiment of the present invention for verifying the authenticity of the image is basically the same as the method and the device for verifying the authenticity of the image, and details are not described herein again.

It is to be understood that the term "comprises", "comprising", or any other variants thereof is intended to encompass a non-exclusive inclusion, such that a process, method, article, or system that comprises a plurality of elements includes not only those elements. It also includes other elements that are not explicitly listed, or elements that are inherent to such a process, method, item, or system. An element defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in a process, method, article, or system that includes the element, without further limitation.

The serial numbers of the embodiments of the present invention are merely for the description, and do not represent the advantages and disadvantages of the embodiments. Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a cell phone, a computer, a server, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

The above are only the preferred embodiments of the present invention, and are not intended to limit the scope of the invention, and the equivalent structure or equivalent process transformations made by the description of the present invention and the drawings are directly or indirectly applied to other related technical fields. Same as the same Within the scope of the patent protection of the present invention.

Claims

A method for verifying the authenticity of an image, wherein the method for verifying the authenticity of an image comprises:

When the client obtains an image, calculating a hash value of the image pixel to obtain a hash fingerprint of the image;

Obtaining identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier to be added to the image;

Sending the image containing the authentication identifier to the server, so that the server verifies the authenticity of the image according to the authentication identifier in the image.
The method for verifying the authenticity of an image according to claim 1, wherein the identification information comprises a device name and a redundant character string for acquiring the image, wherein the server is configured to be based on the image. The steps of verifying the authenticity of the image by the authentication identifier include:

Receiving, by the server, the image sent by the client, acquiring an authentication identifier of the image, and determining whether the device name in the authentication identifier is consistent with a pre-stored device name;

If the device name is inconsistent with the pre-stored device name, determining that the image is a forged image;

If the device name is consistent with the pre-stored device name, calculating a hash fingerprint of the image;

If the calculated hash fingerprint does not match the hash fingerprint in the authentication identifier, determining that the image is a forged image;

If the calculated hash fingerprint is consistent with the hash fingerprint in the authentication identifier, determine whether the redundant string in the authentication identifier is consistent with the pre-stored redundant string;

If the redundant character string is inconsistent with the pre-stored redundant character string, determining that the image is a forged image;

And if the redundant character string is consistent with the pre-stored redundant character string, determining that the image is a real image.
The method for verifying the authenticity of an image according to claim 1, wherein the step of calculating a hash value of the image pixel when the client acquires the image, and obtaining the hash fingerprint of the image comprises:

When the client obtains the image, pre-processing the image to obtain the pre-processed image;

Calculating a mean value of the image pixels after preprocessing, and comparing pixel values of respective pixels of the preprocessed image with the average value;

If the pixel value of the pixel is greater than the average, the pixel value of the pixel is set to 1;

If the pixel value of the pixel is less than or equal to the average, the pixel value of the pixel is set to 0;

A hash fingerprint of the image is generated from pixel points having pixel values of 1 and 0.
The method for verifying the authenticity of an image according to claim 3, wherein the step of pre-processing the image to obtain the pre-processed image when the client acquires the image include:

When the client acquires the image, performing grayscale processing on the image to obtain the grayscale image;

Shrinking the grayscale image to a preset ratio to obtain the reduced image;

The reduced cosine transform is performed on the reduced image to obtain the preprocessed image.
The method for verifying the authenticity of an image according to claim 1, wherein the acquiring identification information identifying the image, and splicing the identification information and the hash fingerprint into an authentication identifier is added to the image The steps include:

Obtaining identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier;

Generating an encryption key by a symmetric encryption algorithm;

Encrypting the authentication identifier by using the encryption key, and encrypting the encryption key by using a public key sent by the server;

The encrypted authentication identifier and the encrypted encryption key are added to the image.
The device for verifying the authenticity of an image, wherein the device for verifying the authenticity of the image comprises:

a calculation module, configured to calculate a hash value of the image pixel when the image is acquired, to obtain a hash fingerprint of the image;

a splicing module, configured to acquire identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier to be added to the image;

And a sending module, configured to send the image that includes the authentication identifier to the server, so that the server verifies the authenticity of the image according to the authentication identifier in the image.
The device for verifying the authenticity of an image according to claim 6, wherein the identification information comprises a device name and a redundant character string for acquiring the image;

The sending module is further configured to send the image to the server, and the server receives the image, obtains an authentication identifier of the image, and determines whether the device name in the authentication identifier is a pre-stored device name. If the device name is inconsistent with the pre-stored device name, determining that the image is a forged image; if the device name is consistent with the pre-stored device name, calculating a hash fingerprint of the image; If the obtained hash fingerprint is inconsistent with the hash fingerprint in the authentication identifier, determining that the image is a forged image; if the calculated hash fingerprint is consistent with the hash fingerprint in the authentication identifier, determining the Whether the redundant character string in the authentication identifier is consistent with the pre-stored redundant character string; if the redundant character string is inconsistent with the pre-stored redundant character string, determining that the image is a forged image; if the redundant character The string is consistent with the pre-stored redundant string, and the image is determined to be a real image.
The device for verifying the authenticity of an image according to claim 6, wherein the calculation module comprises:

a pre-processing unit, configured to pre-process the image when the image is acquired, to obtain the pre-processed image;

a calculating unit, configured to calculate a mean value of the pre-processed image pixels, and compare pixel values of respective pixels of the pre-processed image with the average value;

a setting unit, configured to: if a pixel value of the pixel point is greater than the average value, set a pixel value of the pixel point to 1; if a pixel value of the pixel point is less than or equal to the average value, a pixel of the pixel point The value is set to 0;

a first generating unit, configured to generate a hash fingerprint of the image according to pixel points with pixel values of 1 and 0.
The device for verifying the authenticity of an image according to claim 8, wherein the pre-processing unit is further configured to perform grayscale processing on the image when the image is acquired, to obtain a grayscaled image. The image is reduced to the preset ratio by the grayscale image to obtain the reduced image, and the reduced image is subjected to discrete cosine transform to obtain the preprocessed image.
The device for verifying the authenticity of an image according to claim 6, wherein the splicing module comprises:

a splicing unit, configured to obtain identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier;

a second generating unit, configured to generate an encryption key by using a symmetric encryption algorithm;

An encryption unit, configured to encrypt the authentication identifier by using the encryption key, and encrypt the encryption key by using a public key sent by the server;

And an adding unit, configured to add the encrypted authentication identifier and the encrypted encryption key to the image.
An apparatus for verifying the authenticity of an image, wherein the device for verifying the authenticity of the image comprises a processor, a network interface, a memory, and a communication bus;

The communication bus is configured to implement connection communication between a processor, a network interface, and a memory;

The network interface is configured to connect to a server, and perform data communication with the server;

The processor is configured to execute a verification image authenticity program stored in the memory to implement the following steps:

When the image is acquired, calculating a hash value of the image pixel to obtain a hash fingerprint of the image;

Obtaining identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier to be added to the image;

Sending the image containing the authentication identifier to the server, so that the server verifies the authenticity of the image according to the authentication identifier in the image.
The device for verifying the authenticity of an image according to claim 11, wherein the identification information comprises a device name and a redundant character string for acquiring the image, wherein the server is configured to be based on the image The steps of verifying the authenticity of the image by the authentication identifier include:

Sending the image to the server, receiving the image by the server, acquiring an authentication identifier of the image, determining whether the device name in the authentication identifier is consistent with a pre-stored device name; If the name of the pre-stored device is inconsistent, the image is determined to be a forged image; if the device name is consistent with the pre-stored device name, the hash fingerprint of the image is calculated; if the calculated hash fingerprint and the image are Determining that the hash fingerprint in the authentication identifier is inconsistent, determining that the image is a forged image; and if the calculated hash fingerprint is consistent with the hash fingerprint in the authentication identifier, determining a redundant character in the authentication identifier Whether the string is consistent with the pre-stored redundant string; if the redundant string is inconsistent with the pre-stored redundant string, determining that the image is a forged image; if the redundant string and the pre-stored redundancy If the strings are consistent, then the image is determined to be a real image.
The device for verifying the authenticity of an image according to claim 11, wherein when the client acquires an image, calculating a hash value of the image pixel, and obtaining a hash fingerprint of the image includes:

When the image is acquired, the image is preprocessed to obtain the preprocessed image;

Calculating a mean value of the image pixels after preprocessing, and comparing pixel values of respective pixels of the preprocessed image with the average value;

If the pixel value of the pixel is greater than the average, the pixel value of the pixel is set to 1;

If the pixel value of the pixel is less than or equal to the average, the pixel value of the pixel is set to 0;

A hash fingerprint of the image is generated from pixel points having pixel values of 1 and 0.
The device for verifying the authenticity of an image according to claim 13, wherein the step of pre-processing the image to obtain the pre-processed image when the client acquires the image include:

When the image is acquired, the image is subjected to grayscale processing to obtain the grayscale image;

Shrinking the grayscale image to a preset ratio to obtain the reduced image;

The reduced cosine transform is performed on the reduced image to obtain the preprocessed image.
The device for verifying the authenticity of an image according to claim 11, wherein the acquiring identification information identifying the image, and splicing the identification information and the hash fingerprint into an authentication identifier is added to the image The steps include:

Obtaining identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier;

Generating an encryption key by a symmetric encryption algorithm;

Encrypting the authentication identifier by using the encryption key, and encrypting the encryption key by using a public key sent by the server;

The encrypted authentication identifier and the encrypted encryption key are added to the image.
A computer readable storage medium, characterized in that the computer readable storage medium stores one or more programs, the one or more programs being executable by one or more processors to implement the following steps:

When the image is acquired, calculating a hash value of the image pixel to obtain a hash fingerprint of the image;

Obtaining identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier to be added to the image;

Sending the image containing the authentication identifier to the server, so that the server verifies the authenticity of the image according to the authentication identifier in the image.
The computer readable storage medium according to claim 16, wherein said identification information comprises a device name and a redundant character string for acquiring said image, said server for said server to authenticate according to said image The steps of identifying the authenticity of the image include:

Sending the image to the server, receiving the image by the server, acquiring an authentication identifier of the image, determining whether the device name in the authentication identifier is consistent with a pre-stored device name; If the name of the pre-stored device is inconsistent, the image is determined to be a forged image; if the device name is consistent with the pre-stored device name, the hash fingerprint of the image is calculated; if the calculated hash fingerprint and the image are Determining that the hash fingerprint in the authentication identifier is inconsistent, determining that the image is a forged image; and if the calculated hash fingerprint is consistent with the hash fingerprint in the authentication identifier, determining a redundant character in the authentication identifier Whether the string is consistent with the pre-stored redundant string; if the redundant string is inconsistent with the pre-stored redundant string, determining that the image is a forged image; if the redundant string and the pre-stored redundancy If the strings are consistent, then the image is determined to be a real image.
The computer readable storage medium according to claim 16, wherein when the client obtains an image, calculating a hash value of the image pixel, and obtaining a hash fingerprint of the image comprises:

When the image is acquired, the image is preprocessed to obtain the preprocessed image;

Calculating a mean value of the image pixels after preprocessing, and comparing pixel values of respective pixels of the preprocessed image with the average value;

If the pixel value of the pixel is greater than the average, the pixel value of the pixel is set to 1;

If the pixel value of the pixel is less than or equal to the average, the pixel value of the pixel is set to 0;

A hash fingerprint of the image is generated from pixel points having pixel values of 1 and 0.
The computer readable storage medium according to claim 18, wherein said step of preprocessing said image when said client obtains said image comprises obtaining said preprocessed image comprising: :

When the image is acquired, the image is subjected to grayscale processing to obtain the grayscale image;

Shrinking the grayscale image to a preset ratio to obtain the reduced image;

The reduced cosine transform is performed on the reduced image to obtain the preprocessed image.
The computer readable storage medium according to claim 16, wherein the obtaining identification information identifying the image, splicing the identification information and the hash fingerprint into an authentication identifier is added to the image The steps include:

Obtaining identification information that identifies the image, and splicing the identification information and the hash fingerprint into an authentication identifier;

Generating an encryption key by a symmetric encryption algorithm;

Encrypting the authentication identifier by using the encryption key, and encrypting the encryption key by using a public key sent by the server;

The encrypted authentication identifier and the encrypted encryption key are added to the image.
A server for verifying the authenticity of an image, wherein the server is connected to a client, wherein the client calculates a hash value of the image pixel when acquiring an image, and obtains a a hash fingerprint of the image; obtaining identification information identifying the image, splicing the identification information and the hash fingerprint into an authentication identifier, and adding the image containing the authentication identifier to the server ;

The server is used to:

Receiving the image sent by the client, obtaining an authentication identifier of the image, and determining whether the device name in the authentication identifier is consistent with a pre-stored device name;

If the device name is inconsistent with the pre-stored device name, determining that the image is a forged image;

If the device name is consistent with the pre-stored device name, calculating a hash fingerprint of the image;

If the calculated hash fingerprint does not match the hash fingerprint in the authentication identifier, determining that the image is a forged image;

If the calculated hash fingerprint is consistent with the hash fingerprint in the authentication identifier, determine whether the redundant string in the authentication identifier is consistent with the pre-stored redundant string;

If the redundant character string is inconsistent with the pre-stored redundant character string, determining that the image is a forged image;

And if the redundant character string is consistent with the pre-stored redundant character string, determining that the image is a real image.