CN113780029B - Verification method and equipment for novel three-dimensional code combined with portrait - Google Patents
Verification method and equipment for novel three-dimensional code combined with portrait Download PDFInfo
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- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
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Abstract
The invention relates to a verification method of a novel three-dimensional code combined with a portrait, which comprises the following steps: acquiring a three-dimensional code, wherein the three-dimensional code comprises a portrait picture, a data code group and a positioning code group; extracting a positioning code group in the three-dimensional code; carrying out distortion correction on the portrait pictures and the data code groups according to the positioning code groups; acquiring a face picture of a user; judging whether the face picture of the user and the corrected face picture are the same face or not through a face recognition algorithm, and if so, verifying the identity of the user; otherwise, the user identity is not verified. According to the invention, visual information is provided for a user through the portrait pictures in the three-dimensional codes, and the user can identify the three-dimensional codes through the portrait pictures, so that user experience is improved; and the off-line verification of the user identity is realized by comparing the portrait pictures arranged in the three-dimensional code with the face pictures of the user, so that only the user can acquire the three-dimensional code data, the data security of the three-dimensional code is ensured, and the dependence of code scanning equipment on a network is also eliminated.
Description
Technical Field
The invention relates to a verification method and equipment for a novel three-dimensional code combined with a portrait, belonging to the field of graphic coding.
Background
Two-dimensional codes are also called two-dimensional bar codes, and are image coding and expression forms of data information, and data symbol information is recorded by using a certain specific geometric figure which is distributed on a plane (in a two-dimensional direction) according to a certain rule and is black-white alternate figure. Because the two-dimensional code algorithm is open-source and can carry various data, the two-dimensional code algorithm becomes a mainstream coding mode on mobile equipment in recent years. Based on the characteristic of the two-dimension code algorithm open source, any person can acquire the data content in the two-dimension code by scanning the two-dimension code. For some two-dimensional codes which store special data, only a specific user can acquire the data content.
The prior art comprises the following steps: 1. the data content in the two-dimensional code is encrypted, so that only a user who knows the key can acquire the data content, but the key has leakage risk and the user experience is poor. 2. And collecting the biological characteristics of the user, and verifying the identity of the user according to the biological characteristics. However, the method stores the biological characteristics in the cloud, and the code verification equipment needs to be connected with the network to obtain verification results.
Patent publication No. CN110990814A discloses a method, a system, a device and a medium for authenticating a trusted digital identity, which comprises the following steps: s10, scanning a network card two-dimensional code presented by a user, and verifying the network card two-dimensional code to generate a network card two-dimensional code verification result; step S20, collecting a living body figure of a user according to the network card two-dimensional code verification result, and verifying the living body figure to generate a living body figure verification result; and step S30, outputting two information of the identity card according to the living body portrait verification result. The invention has the following defects: the code verification device needs to be connected with the network to obtain the verification result of the user portrait.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a novel three-dimensional code verification method combined with a portrait, which realizes offline verification of user identity by comparing a portrait picture arranged in the three-dimensional code with a user face picture, ensures that only the user can acquire three-dimensional code data, ensures the data security of the three-dimensional code, and gets rid of the dependence of code scanning equipment on a network.
The technical scheme of the invention is as follows:
the technical scheme is as follows:
a verification method of a novel three-dimensional code combined with a portrait comprises the following steps:
acquiring a three-dimensional code, wherein the three-dimensional code comprises a portrait picture, a data code group and a positioning code group;
extracting a positioning code group in the three-dimensional code;
carrying out distortion correction on the portrait pictures and the data code groups according to the positioning code groups;
the user identity is verified, and the steps are as follows: acquiring a face picture of a user; judging whether the face picture of the user and the corrected face picture are the same face or not through a face recognition algorithm, if so, verifying the identity of the user, and decoding the data code group; otherwise, the user identity is not verified and the data code group is not decoded.
Further, the method further comprises the following steps: the three-dimensional code is verified, and the method specifically comprises the following steps:
pre-storing the portrait pictures;
acquiring the pre-stored portrait pictures; judging whether the pre-stored portrait pictures are consistent with the corrected portrait pictures or not through an image recognition algorithm, and if so, verifying the three-dimensional code; otherwise, the three-dimensional code is not validated.
Further, the step of judging whether the face picture of the user and the corrected face picture are the same face through the face recognition algorithm specifically comprises the following steps:
respectively inputting the corrected portrait picture and the user face picture into a deep learning model to obtain a first feature vector and a second feature vector; if the Euclidean distance between the first feature vector and the second feature vector is smaller than a first threshold value, the corrected portrait picture and the user face picture are considered to be the same face; otherwise, the corrected face image and the user face image are not considered to be the same face.
Further, the data code group and the positioning code group are arranged around the portrait picture.
Further, the method further comprises the following steps: decoding the corrected data code group to obtain encoded data, wherein the encoded data comprises an identifier; the identifier is used for indexing and inquiring to obtain the pre-stored portrait picture.
Further, the method further comprises the following steps: decoding the corrected data code group to obtain encoded data, wherein the encoded data comprises a function identifier; the function identifier is used for judging whether to verify the three-dimensional code or store the corrected portrait picture or store the encoded data.
The second technical scheme is as follows:
the verification device of a new three-dimensional code combined with portrait comprises a memory, a camera and a processor;
the camera is used for acquiring a three-dimensional code and a user face picture, wherein the three-dimensional code comprises a portrait picture, a data code group and a positioning code group;
the memory stores instructions adapted to be loaded by the processor and to perform the steps of: extracting a positioning code group in the three-dimensional code; carrying out distortion correction on the portrait pictures according to the positioning code groups; judging whether the face picture of the user and the corrected face picture are the same face or not through a face recognition algorithm, if so, the user identity passes the verification, and the data code group is decoded; otherwise, the user identity is not verified and the data code group is not decoded.
Further, the method further comprises the following steps: the three-dimensional code is verified, and the method specifically comprises the following steps:
pre-storing the portrait pictures;
acquiring the pre-stored portrait pictures; judging whether the pre-stored portrait pictures are consistent with the corrected portrait pictures or not through an image recognition algorithm, and if so, verifying the three-dimensional code; otherwise, the three-dimensional code is not validated.
Further, the step of judging whether the face picture of the user and the corrected face picture are the same face through the face recognition algorithm specifically comprises the following steps:
respectively inputting the corrected portrait picture and the user face picture into a deep learning model to obtain a first feature vector and a second feature vector; if the Euclidean distance between the first feature vector and the second feature vector is smaller than a first threshold value, the corrected portrait picture and the user face picture are considered to be the same face; otherwise, the corrected face image and the user face image are not considered to be the same face.
Further, the data code group and the positioning code group are arranged around the portrait picture.
Further, the method further comprises the following steps: decoding the corrected data code group to obtain encoded data, wherein the encoded data comprises an identifier; the identifier is used for indexing and inquiring to obtain the pre-stored portrait picture.
Further, the method further comprises the following steps: decoding the corrected data code group to obtain encoded data, wherein the encoded data comprises a function identifier; the function identifier is used for judging whether to verify the three-dimensional code or store the corrected portrait picture or store the encoded data.
The invention has the following beneficial effects:
1. the portrait pictures in the three-dimensional codes provide visual information for users, and the users can identify the three-dimensional codes through the portrait pictures, so that user experience is improved.
2. By comparing the portrait pictures arranged in the three-dimensional code with the face pictures of the user, the offline verification of the user identity is realized, the fact that only the user can acquire the three-dimensional code data is ensured, the data safety of the three-dimensional code is ensured, and the dependence of code scanning equipment on a network is also eliminated.
3. The portrait picture, the data code group and the positioning code group are taken as a whole, and the positioning code group is utilized to carry out distortion correction on the portrait picture, so that the accuracy of picture comparison during subsequent verification of user identity and verification of the three-dimensional code is improved, the data safety is ensured, and the accuracy of three-dimensional code verification is improved.
4. And the data code group and the positioning code group are arranged around the portrait picture, so that the size of the picture is not limited, the picture is not blocked by code points, and visual information conveyed by the picture is not influenced.
5. The invention sets the identifier in the coded data, inquires the portrait picture through the identifier index during code checking, and can prevent the picture or the data code group in the three-dimensional code from being tampered into other data.
6. The function identification is arranged in the coded data, the function of the three-dimensional code can be flexibly selected according to actual requirements, the portrait picture or the verification three-dimensional code is transferred or the data is transferred, the information transfer capacity (large picture data amount) of the three-dimensional code is increased, and the user experience is good.
Drawings
FIG. 1 is a three-dimensional code verification flow chart;
FIG. 2 is a three-dimensional code generation flow chart;
FIG. 3 is a three-dimensional code decoding flow chart in the fourth embodiment;
FIG. 4 is a schematic representation of a three-dimensional code;
fig. 5 is a schematic diagram of a corrector.
Detailed Description
The invention will now be described in detail with reference to the drawings and to specific embodiments.
Example 1
As shown in fig. 1, the code scanning device obtains a three-dimensional code picture through a camera, and the following steps are executed through a processor: extracting a positioning module in the three-dimensional code picture; carrying out distortion correction on the three-dimensional code picture through a positioning module; and extracting the portrait picture and the data code group in the corrected three-dimensional code picture.
And the camera acquires the face picture of the user. The processor performs the steps of: judging whether the face picture of the user and the corrected face picture are the same face or not through a face recognition algorithm, if so, verifying the identity of the user, and decoding the data code group; otherwise, the user identity is not verified and the data code group is not decoded.
The beneficial effects of this embodiment lie in:
1. the portrait pictures in the three-dimensional codes provide visual information for users, and the users can identify the three-dimensional codes through the portrait pictures, so that user experience is improved.
2. By comparing the portrait pictures arranged in the three-dimensional code with the face pictures of the user, the offline verification of the user identity is realized, the fact that only the user can acquire the three-dimensional code data is ensured, the data safety of the three-dimensional code is ensured, and the dependence of code scanning equipment on a network is also eliminated.
3. The portrait picture, the data code group and the positioning code group are taken as a whole, and the positioning code group is utilized to carry out distortion correction on the portrait picture, so that the accuracy of picture comparison during subsequent verification of user identity and verification of the three-dimensional code is improved, the data safety is ensured, and the accuracy of three-dimensional code verification is improved.
Example two
Referring to fig. 2, the three-dimensional code is generated as follows:
and obtaining a portrait picture. An identifier is generated that identifies the portrait picture, which in this embodiment is a string of 36-bit characters. The portrait pictures and identifiers are stored in a server, and the identifiers are associated with the storage addresses of the portrait pictures in the server, as shown in table 1.
TABLE 1
Encoded data is generated, the encoded data including a function identification and a data field. When the function identifier is 00, the three-dimensional code is used for transmitting the portrait picture, the data field does not contain an identifier, and the three-dimensional code is not verified; when the function identifier is 01, the three-dimensional code is used for transmitting a data field, and the data field does not contain an identifier and is not verified; when the function identifier is 10, the data field contains an identifier, and the three-dimensional code needs to be verified; when the function identifier is 11, the three-dimensional code is used to transfer the data field, and the data field contains the identifier, which requires verification.
The encoded data is converted into a binary stream, data 0 is the white code point and data 1 is the black code point. And arranging the code points around the portrait pictures according to a preset rule to obtain a data code group. In this embodiment, the code points are sequentially arranged in the counterclockwise direction in four rectangular areas outlined in fig. 4. Generating a positioning module, wherein the positioning module comprises three positioners and a corrector. In this embodiment, the locator is a rectangular frame embedded with a black square, and the corrector (as shown in fig. 5) includes a quarter rectangular frame and the black square. The black square blocks in the corrector occupy larger area proportion in the corrector, have higher anti-fouling capability and are easier to identify, thereby being beneficial to improving the success rate of distortion correction. And adding positioning modules at four corners outside the portrait picture to obtain a three-dimensional code, as shown in fig. 4. In the embodiment, a mask is further overlapped on the three-dimensional code, so that black and white code points are distributed more uniformly, and the difficulty of decoding the three-dimensional code is increased.
The beneficial effects of this embodiment lie in: and the data code group and the positioning code group are arranged around the portrait picture, so that the size of the picture is not limited, the picture is not blocked by code points, and visual information conveyed by the picture is not influenced.
Example III
The process of converting encoded data into a binary stream is illustrated:
the encoded data includes: a start field, a count field, a function identification, and a data field. The encoded data is converted into a binary stream.
The data fields are: 002/0002937c-62a9-4934-9ee0-6a1b703ebb a start field of 10, count field of 00101000, function identification of 10.
The binary stream obtained after encoding is:
001100000011000000110010001011110011000000110000001100 0000110010001110010011001100110111011000110010110100110110 0011001001100001001110010010110100110100001110010011001100 1101000010110100111001011001010110010100110000001011010011 0110011000010011000101100010001101110011000000110011011001 0101100010011000100011001100110101
example IV
In the second embodiment, the correspondence between the portrait picture, the identifier and the address of the portrait picture stored in the server is stored in the server in advance.
As shown in fig. 3, the decoding step of the three-dimensional code is as follows:
s1, the decoding end shoots the three-dimensional code to obtain a three-dimensional code picture.
S2, extracting a positioning module in the three-dimensional code picture; carrying out distortion correction on the three-dimensional code picture through a positioning module;
s3, extracting a portrait picture and a data code group in the corrected three-dimensional code picture;
s4, verifying the identity of the user, wherein the steps are as follows: acquiring a face picture of a user; the decoding end is provided with a deep learning model facenet, and the corrected portrait picture and the user face picture are respectively input into the deep learning model facenet to obtain a first feature vector and a second feature vector; if the Euclidean distance between the first feature vector and the second feature vector is smaller than a first threshold value, the corrected portrait picture is considered to be consistent with the user face picture, and the next step is continued; otherwise, the corrected portrait picture is not consistent with the user face picture, decoding is stopped, and the fact that the user identity verification is not passed is displayed.
S5, converting the data code group into coded data; judging the function of the three-dimensional code according to the function identification in the coded data: if the function identifier is 00, the three-dimensional code is not verified, and the decoding end stores the portrait picture; if the function identifier is 10, the three-dimensional code is verified, specifically:
the decoding end sends the identifier in the encoded data to a server; inquiring a storage address by the server according to the identifier to obtain a pre-stored portrait picture in the server, and returning the pre-stored portrait picture to the decoding end;
the criterion for judging whether the pre-stored portrait pictures are consistent with the corrected portrait pictures comprises the following steps: the two pictures are completely consistent or the two pictures are the same face. The embodiment does not require the pictures to be completely consistent, and only the same face is required. The decoding end inputs the pre-stored portrait pictures to a deep learning model facenet to obtain a third feature vector; if the Euclidean distance between the first feature vector and the third feature vector is smaller than a first threshold value, the portrait picture is considered to be consistent with the pre-stored portrait picture; otherwise, the portrait picture is not consistent with the pre-stored portrait picture.
The progress of this embodiment is that:
1. the identifier is arranged in the coded data, and the portrait picture is queried through the identifier index during code checking, so that the picture or the data code group in the three-dimensional code can be prevented from being tampered into other data.
2. The function identification is arranged in the coded data, the function of the three-dimensional code can be flexibly selected according to actual requirements, the portrait picture or the verification three-dimensional code is transferred or the data is transferred, the information transfer capacity (large picture data amount) of the three-dimensional code is increased, and the user experience is good.
3. And comparing the corrected human image picture with a pre-stored human image picture and comparing the corrected human image picture with a user face picture by using the deep learning model, so that the user can automatically change the face image in the code, and the user experience is improved.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes or direct or indirect application in other related technical fields are included in the scope of the present invention.
Claims (8)
1. The verification method of the novel three-dimensional code combined with the portrait is characterized by comprising the following steps:
acquiring a three-dimensional code, wherein the three-dimensional code comprises a portrait picture, a data code group and a positioning code group;
extracting a positioning code group in the three-dimensional code;
carrying out distortion correction on the portrait pictures and the data code groups according to the positioning code groups;
the user identity is verified, and the steps are as follows: acquiring a face picture of a user; judging whether the face picture of the user and the corrected face picture are the same face or not through a face recognition algorithm, if so, verifying the identity of the user, and decoding the data code group; otherwise, the user identity is not verified and the data code group is not decoded;
decoding the corrected data code group to obtain encoded data, wherein the encoded data comprises an identifier;
the three-dimensional code is verified, and the method specifically comprises the following steps: pre-storing the portrait pictures; inquiring a storage address according to the identifier index in the coded data to obtain a portrait picture prestored in a server; judging whether the pre-stored portrait pictures are consistent with the corrected portrait pictures or not through an image recognition algorithm, and if so, verifying the three-dimensional code; otherwise, the three-dimensional code is not validated.
2. The method for verifying a novel three-dimensional code combined with a human figure according to claim 1, wherein the method for judging whether the human face picture of the user and the corrected human figure picture are the same human face through a human face recognition algorithm is specifically as follows:
respectively inputting the corrected portrait picture and the user face picture into a deep learning model to obtain a first feature vector and a second feature vector; if the Euclidean distance between the first feature vector and the second feature vector is smaller than a first threshold value, the corrected portrait picture and the user face picture are considered to be the same face; otherwise, the corrected face image and the user face image are not considered to be the same face.
3. The method of claim 1, wherein the data code set and the location code set are arranged around the portrait picture.
4. The method for verifying a novel three-dimensional code in combination with a portrait of claim 1, further comprising: decoding the corrected data code group to obtain encoded data, wherein the encoded data comprises a function identifier; the function identifier is used for judging whether to verify the three-dimensional code or store the corrected portrait picture or store the encoded data.
5. The verification device of the novel three-dimensional code combined with the portrait is characterized by comprising a memory, a camera and a processor;
the camera is used for acquiring a three-dimensional code and a user face picture, wherein the three-dimensional code comprises a portrait picture, a data code group and a positioning code group;
the memory stores instructions adapted to be loaded by the processor and to perform the steps of:
extracting a positioning code group in the three-dimensional code;
carrying out distortion correction on the portrait pictures and the data code groups according to the positioning code groups;
judging whether the face picture of the user and the corrected face picture are the same face or not through a face recognition algorithm, if so, the user identity passes the verification, and the data code group is decoded; otherwise, the user identity is not verified and the data code group is not decoded;
decoding the corrected data code group to obtain encoded data, wherein the encoded data comprises an identifier;
the three-dimensional code is verified, and the method specifically comprises the following steps: pre-storing the portrait pictures; inquiring a storage address according to the identifier index in the coded data to obtain a portrait picture prestored in a server; judging whether the pre-stored portrait pictures are consistent with the corrected portrait pictures or not through an image recognition algorithm, and if so, verifying the three-dimensional code; otherwise, the three-dimensional code is not validated.
6. The device for verifying a new three-dimensional code combined with a human figure according to claim 5, wherein the method for judging whether the human face picture of the user and the corrected human figure picture are the same human face by a human face recognition algorithm is specifically as follows:
respectively inputting the corrected portrait picture and the user face picture into a deep learning model to obtain a first feature vector and a second feature vector; if the Euclidean distance between the first feature vector and the second feature vector is smaller than a first threshold value, the corrected portrait picture and the user face picture are considered to be the same face; otherwise, the corrected face image and the user face image are not considered to be the same face.
7. The authentication device of claim 5, wherein the data code set and the location code set are arranged around the portrait picture.
8. The authentication device of a novel three-dimensional code incorporating a portrait of claim 5, further comprising: decoding the corrected data code group to obtain encoded data, wherein the encoded data comprises a function identifier; the function identifier is used for judging whether to verify the three-dimensional code or store the corrected portrait picture or store the encoded data.
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