CN112633281B - Vehicle identity authentication method and system based on Hash algorithm - Google Patents
Vehicle identity authentication method and system based on Hash algorithm Download PDFInfo
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Abstract
The invention discloses a vehicle identity authentication method and system based on Hash algorithm, which comprises the steps of collecting a vehicle image containing a vehicle license plate and transmitting the vehicle image to a client; filtering the vehicle image by the client to obtain a filtered image; matching the similarity between the Hash codes of the vehicle images and the Hash codes of the license plate part, and selecting the Hash codes with better conditions as the Hash codes to be transmitted to a server side to be matched with the Hash codes of the vehicle images in a database; and the vehicle identity authentication result information is output, so that the identity of the vehicle can be rapidly identified, the accuracy of vehicle identification is improved, and the false detection rate is reduced.
Description
Technical Field
The invention belongs to the technical field of information security and vehicle identity authentication, and particularly relates to a vehicle identity authentication method and system based on a Hash algorithm.
Background
At present, vehicle identity authentication generally adopts a method of identifying the identity of a vehicle by means of a license plate number, and the license plate is hung to be mainly convenient for people to manage the vehicle. Although, the information vehicle identification technology mainly based on the license plate recognition system is applied more at present; the vehicle identity authentication technology is the most important safety line, and has an important position, and the reliable vehicle identity authentication can ensure that information is correctly identified.
However, the existing license plate recognition technology only recognizes the information of the license plate number, color, etc. of the vehicle by photographing, but the existing license plate recognition technology generally has the problems of very low safety, and often cannot recognize the correct vehicle identity due to the means of license plate shielding, fake plate vehicle, etc., so that a rapid vehicle identity authentication method is urgently needed to improve the accuracy of vehicle recognition.
Disclosure of Invention
The invention aims to provide a vehicle identity authentication method and system based on a Hash algorithm, which are used for solving one or more technical problems in the prior art and at least provide a beneficial selection or creation condition.
In order to achieve the above object, according to an aspect of the present invention, there is provided a vehicle identity authentication method based on a Hash algorithm, the method comprising the steps of:
step 1, collecting a vehicle image containing a license plate of a vehicle;
step 2, filtering the vehicle image to obtain a filtered image;
step 3, acquiring each principal component of the filtered image by adopting a principal component analysis algorithm, extracting a characteristic value of each principal component, and taking each characteristic value as an integral characteristic value set from small to large;
step 4, segmenting a license plate region image in the filtered image, acquiring each principal component of the license plate region image by adopting a principal component analysis algorithm, extracting a characteristic value of each principal component as a license plate region characteristic value set, wherein the number of the characteristic values in the license plate region characteristic value set is k;
step 5, taking the first k minimum eigenvalues in the integral eigenvalue set as a first eigenvalue set, taking the eigenvalues in the license plate region eigenvalue set as a second eigenvalue set, and calculating the cosine similarity of the first eigenvalue set and the second eigenvalue set;
step 6, if the cosine similarity is greater than 0, calculating the characteristic function value of the first characteristic value set as a contrast characteristic function value, and if the cosine similarity is less than or equal to 0, calculating the characteristic function value of the characteristic value in the second characteristic value set as a contrast characteristic function value;
step 7, carrying out binary quantization on the comparison characteristic function value at a zero point to obtain a Hash code;
step 8, transmitting the hash codes to a server side to be matched with the hash codes of the vehicle images in the database;
and 9, outputting license plate number and vehicle type information corresponding to the vehicle if the matching is successful, and outputting warning information of vehicle identity recognition failure if the matching is failed.
Further, in step 1, a vehicle image containing a license plate of the vehicle is collected and shot by a highway license plate shooting camera AW-8901 or a camera adopting a SONY 210 ten thousand pixel line-by-line Exmor CMOS sensor.
Further, at least one client is used for processing the vehicle images and connected with the server; the server includes a database storing a plurality of vehicle images, vehicle numbers, license plate numbers, and vehicle type information.
Further, in step 2, the method for filtering the vehicle image includes any one of linear filtering and non-linear filtering, where the linear filtering includes block filtering, mean filtering and gaussian filtering, and the non-linear filtering includes median filtering and bilateral filtering.
Further, in step 4, the method for segmenting the license plate region image in the filtered image comprises: and marking out the license plate region in the filtered image through a polygon marking tool and an image marking tool, namely a labellmg tool, and segmenting and extracting the license plate region image.
Further, in step 8, the method of transmitting the hash code to the server side to match the hash code of the vehicle image in the database is as follows: the database of the server side stores all vehicle images, vehicle numbers, license plate numbers, vehicle type information and Hash codes thereof, the Hash codes transmitted from the client side are compared with the Hash codes of the vehicle images in the database according to the cosine similarity, and the vehicle images, the vehicle numbers, the license plate numbers and the vehicle type information with the largest cosine similarity value are selected and output.
The invention also provides a vehicle identity authentication system based on the Hash algorithm, which comprises the following components: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in the units of the following system:
the vehicle image acquisition unit is used for acquiring a vehicle image containing a license plate of a vehicle;
the vehicle image filtering unit is used for filtering the vehicle image to obtain a filtered image;
the principal component characteristic extraction unit is used for acquiring each principal component of the filtering image by adopting a principal component analysis algorithm, extracting a characteristic value of each principal component, and taking each characteristic value as an integral characteristic value set from small to large;
the license plate feature extraction unit is used for segmenting a license plate region image in the filtered image, acquiring each principal component of the license plate region image by adopting a principal component analysis algorithm, extracting a feature value of each principal component as a license plate region feature value set, wherein the number of the feature values in the license plate region feature value set is k;
the similarity calculation unit is used for calculating cosine similarity of the first characteristic value set and the second characteristic value set by taking the first k minimum characteristic values in the integral characteristic value set as a first characteristic value set and the characteristic values in the license plate region characteristic value set as a second characteristic value set;
the characteristic function calculation unit is used for calculating a characteristic function value of the first characteristic value set as a contrast characteristic function value if the cosine similarity is greater than 0, and calculating a characteristic function value of a characteristic value in the second characteristic value set as a contrast characteristic function value if the cosine similarity is less than or equal to 0;
the hash coding unit is used for carrying out binary quantization on the comparison characteristic function value at a zero point to obtain a hash code;
the hash matching unit is used for transmitting the hash codes to the server side to be matched with the hash codes of the vehicle images in the database;
and the result output unit is used for outputting the license plate number and the vehicle type information corresponding to the vehicle if the matching is successful, and outputting the warning information of the failure of the vehicle identification if the matching is failed.
The invention has the beneficial effects that: the invention provides a vehicle identity authentication method and system based on a Hash algorithm, which can be used for quickly identifying the identity of a vehicle, improve the accuracy of vehicle identification and reduce the false detection rate.
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The above and other features of the present invention will become more apparent by describing in detail embodiments thereof with reference to the attached drawings in which like reference numerals designate the same or similar elements, it being apparent that the drawings in the following description are merely exemplary of the present invention and other drawings can be obtained by those skilled in the art without inventive effort, wherein:
FIG. 1 is a flow chart of a vehicle identity authentication method based on Hash algorithm;
fig. 2 is a structural diagram of a vehicle identity authentication system based on a Hash algorithm.
Detailed Description
The conception, the specific structure and the technical effects produced by the present invention will be clearly and completely described in conjunction with the embodiments and the attached drawings, so as to fully understand the objects, the schemes and the effects of the present invention. It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, a flow chart of a vehicle identity authentication method based on a Hash algorithm according to the present invention is shown, and a vehicle identity authentication method based on a Hash algorithm according to an embodiment of the present invention is described below with reference to fig. 1.
The invention provides a vehicle identity authentication method based on a Hash algorithm, which specifically comprises the following steps:
step 1, collecting a vehicle image containing a vehicle license plate and transmitting the vehicle image to a client;
step 2, filtering the vehicle image by the client to obtain a filtered image;
step 3, acquiring each principal component of the filtered image by adopting a principal component analysis algorithm, extracting a characteristic value of each principal component, and taking each characteristic value as an integral characteristic value set from small to large;
step 4, segmenting a license plate region image in the filtered image, acquiring each principal component of the license plate region image by adopting a principal component analysis algorithm, extracting a characteristic value of each principal component as a license plate region characteristic value set, wherein the number of the characteristic values in the license plate region characteristic value set is k;
step 5, taking the first k minimum eigenvalues in the integral eigenvalue set as a first eigenvalue set, taking the eigenvalues in the license plate region eigenvalue set as a second eigenvalue set, and calculating the cosine similarity of the first eigenvalue set and the second eigenvalue set;
step 6, if the cosine similarity is greater than 0, calculating the characteristic function value of the first characteristic value set as a contrast characteristic function value, and if the cosine similarity is less than or equal to 0, calculating the characteristic function value of the characteristic value in the second characteristic value set as a contrast characteristic function value;
step 7, performing binary quantization on the comparison characteristic function value at a zero point to obtain a hash code;
step 8, the client transmits the hash codes to the server to be matched with the hash codes of the vehicle images in the database;
and 9, outputting license plate number and vehicle type information corresponding to the vehicle if the matching is successful, and outputting warning information of vehicle identity recognition failure if the matching is failed.
Further, in step 1, a vehicle image containing a vehicle license plate is collected and shot by a highway license plate shooting camera AW-8901 or a camera of a SONY 210 ten thousand pixel line-by-line Exmor CMOS sensor.
Further, in step 2, the method for filtering the vehicle image includes any one of linear filtering and nonlinear filtering, the linear filtering includes block filtering, mean filtering, and gaussian filtering, and the nonlinear filtering includes median filtering and bilateral filtering.
Further, in step 4, the method for segmenting the license plate region image in the filtered image comprises: and marking out the license plate region in the filtered image through a polygon marking tool and an image marking tool, namely a labellmg tool, and segmenting and extracting the license plate region image.
Further, in step 8, the method for transmitting the hash code to the server side to match the hash code of the vehicle image in the database is as follows: the database of the server side stores all vehicle images, vehicle numbers, license plate numbers, vehicle type information and Hash codes thereof, the Hash codes transmitted from the client side are compared with the Hash codes of the vehicle images in the database according to the cosine similarity, and the vehicle images, the vehicle numbers, the license plate numbers and the vehicle type information with the largest cosine similarity value are selected and output.
An embodiment of the present invention provides a vehicle identity authentication system based on a Hash algorithm, as shown in fig. 2, which is a structural diagram of the vehicle identity authentication system based on the Hash algorithm, and the vehicle identity authentication system based on the Hash algorithm of the embodiment includes: a processor, a memory and a computer program stored in the memory and operable on the processor, wherein the processor when executing the computer program implements the steps of one embodiment of the Hash algorithm-based vehicle identity authentication system as described above.
The system comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in the units of the system:
the vehicle image acquisition unit is used for acquiring a vehicle image containing a license plate of a vehicle and transmitting the vehicle image to the client;
the vehicle image filtering unit is used for filtering the vehicle image by the client to obtain a filtered image;
the principal component characteristic extraction unit is used for acquiring each principal component of the filtering image by adopting a principal component analysis algorithm, extracting a characteristic value of each principal component, and taking each characteristic value as an integral characteristic value set from small to large;
the license plate feature extraction unit is used for segmenting a license plate region image in the filtered image, acquiring each principal component of the license plate region image by adopting a principal component analysis algorithm, extracting a feature value of each principal component as a license plate region feature value set, wherein the number of the feature values in the license plate region feature value set is k;
the similarity calculation unit is used for calculating cosine similarity of the first characteristic value set and the second characteristic value set by taking the first k minimum characteristic values in the integral characteristic value set as a first characteristic value set and the characteristic values in the license plate region characteristic value set as a second characteristic value set;
the characteristic function calculating unit is used for calculating a characteristic function value of the first characteristic value set as a comparison characteristic function value if the cosine similarity is greater than 0, and calculating a characteristic function value of the characteristic value in the second characteristic value set as a comparison characteristic function value if the cosine similarity is less than or equal to 0;
the hash coding unit is used for carrying out binary quantization on the comparison characteristic function value at a zero point to obtain a hash code;
the hash matching unit is used for transmitting the hash codes to the server side by the client side to match the hash codes of the vehicle images in the database;
and the result output unit is used for outputting the license plate number and the vehicle type information corresponding to the vehicle if the matching is successful, and outputting warning information of vehicle identity recognition failure if the matching is failed.
The vehicle identity authentication system based on the Hash algorithm can be operated in computing devices such as desktop computers, notebooks, palm computers and cloud servers. The vehicle identity authentication system based on the Hash algorithm can be operated by a system comprising but not limited to a processor and a memory. It will be understood by those skilled in the art that the example is merely an example of a Hash algorithm based vehicle authentication system, and does not constitute a limitation of a Hash algorithm based vehicle authentication system, and may include more or less components than the Hash algorithm based vehicle authentication system, or some components in combination, or different components, for example, the Hash algorithm based vehicle authentication system may further include an input-output device, a network access device, a bus, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general processor can be a microprocessor or the processor can be any conventional processor, and the processor is a control center of the vehicle identity authentication system operating system based on the Hash algorithm, and various interfaces and lines are used for connecting all parts of the whole vehicle identity authentication system operable system based on the Hash algorithm.
The memory may be used to store the computer programs and/or modules, and the processor may implement the various functions of the Hash algorithm-based vehicle authentication system by operating or executing the computer programs and/or modules stored in the memory and calling the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
While the present invention has been described in considerable detail and with particular reference to several of these embodiments, it is not intended to be limited to any such details or embodiments or any particular embodiment, but rather it is to be construed as effectively covering the intended scope of the invention by providing a broad, potential interpretation of such claims in view of the prior art with reference to the appended claims. Furthermore, the foregoing describes the invention in terms of embodiments foreseen by the inventor for which an enabling description was available, notwithstanding that insubstantial modifications of the invention, not presently foreseen, may nonetheless represent equivalent modifications thereto.
Claims (6)
1. A vehicle identity authentication method based on a Hash algorithm is characterized by comprising the following steps:
step 1, collecting a vehicle image containing a license plate of a vehicle;
step 2, filtering the vehicle image to obtain a filtered image;
step 3, acquiring each principal component of the filtered image by adopting a principal component analysis algorithm, extracting a characteristic value of each principal component, and taking each characteristic value as an integral characteristic value set from small to large;
step 4, segmenting the license plate region image in the filtered image, acquiring each principal component of the license plate region image by adopting a principal component analysis algorithm, extracting a characteristic value of each principal component as a license plate region characteristic value set, wherein the number of the characteristic values in the license plate region characteristic value set is k;
step 5, taking the first k minimum eigenvalues in the integral eigenvalue set as a first eigenvalue set, taking the eigenvalues in the license plate region eigenvalue set as a second eigenvalue set, and calculating the cosine similarity of the first eigenvalue set and the second eigenvalue set;
step 6, if the cosine similarity is greater than 0, calculating the characteristic function value of the first characteristic value set as a contrast characteristic function value, and if the cosine similarity is less than or equal to 0, calculating the characteristic function value of the characteristic value in the second characteristic value set as a contrast characteristic function value;
step 7, carrying out binary quantization on the comparison characteristic function value at a zero point to obtain a Hash code;
step 8, transmitting the hash codes to a server side to be matched with the hash codes of the vehicle images in the database;
and 9, outputting license plate number and vehicle type information corresponding to the vehicle if the matching is successful, and outputting warning information of vehicle identity recognition failure if the matching is failed.
2. The Hash algorithm-based vehicle identity authentication method according to claim 1, wherein in step 1, the collected vehicle image containing the license plate of the vehicle is shot by a license plate camera AW-8901 on a highway or a camera of a SONY 210 ten thousand pixel line-by-line Exmor CMOS sensor.
3. The Hash algorithm-based vehicle identity authentication method according to claim 1, wherein in the step 2, the method for filtering the vehicle image comprises any one of linear filtering and nonlinear filtering, wherein the linear filtering comprises square filtering, mean filtering and Gaussian filtering, and the nonlinear filtering comprises median filtering and bilateral filtering.
4. The Hash algorithm-based vehicle identity authentication method according to claim 1, wherein in the step 4, the method for segmenting the license plate region image in the filtered image comprises the following steps: and marking out the license plate region in the filtered image through a polygon marking tool and an image marking tool, namely a labellmg tool, and segmenting and extracting the license plate region image.
5. The vehicle identity authentication method based on the Hash algorithm as claimed in claim 1, wherein in step 8, the method of transmitting the Hash code to the server side for matching with the Hash code of the vehicle image in the database comprises: the database of the server side stores all vehicle images, vehicle numbers, license plate numbers, vehicle type information and Hash codes thereof, the Hash codes transmitted from the client side are compared with the Hash codes of the vehicle images in the database according to the cosine similarity, and the vehicle images, the vehicle numbers, the license plate numbers and the vehicle type information with the largest cosine similarity value are selected and output.
6. A vehicle identity authentication system based on Hash algorithm, the system comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the computer program to run in the units of the system:
the vehicle image acquisition unit is used for acquiring a vehicle image containing a license plate of a vehicle;
the vehicle image filtering unit is used for filtering the vehicle image to obtain a filtered image;
the principal component characteristic extraction unit is used for acquiring each principal component of the filtering image by adopting a principal component analysis algorithm, extracting a characteristic value of each principal component, and taking each characteristic value as an integral characteristic value set from small to large;
the license plate feature extraction unit is used for segmenting a license plate region image in the filtered image, acquiring each principal component of the license plate region image by adopting a principal component analysis algorithm, extracting a feature value of each principal component as a license plate region feature value set, wherein the number of the feature values in the license plate region feature value set is k;
the similarity calculation unit is used for calculating cosine similarity of the first characteristic value set and the second characteristic value set by taking the first k minimum characteristic values in the integral characteristic value set as a first characteristic value set and the characteristic values in the license plate region characteristic value set as a second characteristic value set;
the characteristic function calculating unit is used for calculating a characteristic function value of the first characteristic value set as a comparison characteristic function value if the cosine similarity is greater than 0, and calculating a characteristic function value of the characteristic value in the second characteristic value set as a comparison characteristic function value if the cosine similarity is less than or equal to 0;
the hash coding unit is used for carrying out binary quantization on the comparison characteristic function value at a zero point to obtain a hash code;
the hash matching unit is used for transmitting the hash codes to the server side to be matched with the hash codes of the vehicle images in the database;
and the result output unit is used for outputting the license plate number and the vehicle type information corresponding to the vehicle if the matching is successful, and outputting the warning information of the failure of the vehicle identification if the matching is failed.
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| CN104463233B (en) * | 2014-12-30 | 2018-08-17 | 深圳市捷顺科技实业股份有限公司 | Automobile logo identification method and vehicle-logo recognition device |
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