CN114629837A - Ecological biological identification method based on NoC algorithm - Google Patents
Ecological biological identification method based on NoC algorithm Download PDFInfo
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- CN114629837A CN114629837A CN202210271939.6A CN202210271939A CN114629837A CN 114629837 A CN114629837 A CN 114629837A CN 202210271939 A CN202210271939 A CN 202210271939A CN 114629837 A CN114629837 A CN 114629837A
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- 238000000034 method Methods 0.000 title claims abstract description 22
- 230000000977 initiatory effect Effects 0.000 claims abstract description 5
- 238000003708 edge detection Methods 0.000 claims description 7
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
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- 230000005540 biological transmission Effects 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/02—Topology update or discovery
- H04L45/06—Deflection routing, e.g. hot-potato routing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
- H04L63/0442—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload wherein the sending and receiving network entities apply asymmetric encryption, i.e. different keys for encryption and decryption
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Abstract
The invention discloses an ecological organism identification method based on NoC algorithm, comprising the following steps: initiating an ecological biological identification request, and acquiring biological image data in an ecological environment according to the request; processing the acquired biological image data and extracting biological characteristic data in the biological image; making the biological characteristic data into a data packet, and sending the data packet to a destination address for biological identification; network congestion is relieved by NoC algorithm: selecting the channel through XY routing; and receiving the transmitted biological characteristic data packet and performing ecological biological identification. By setting the NoC algorithm, after a certain node is blocked, the routing path can be routed according to the sequence of X dimension and Y dimension, but can send a data packet to another dimension, so that the network congestion can be relieved to a certain extent, and the biological identification speed is improved.
Description
Technical Field
The invention relates to the technical field of biological identification, in particular to an ecological biological identification method based on a NoC algorithm.
Background
Biometric identification technology, which is a technology for performing biometric authentication by combining a computer with optical, acoustic, biosensor, biometric principles, and other means and using inherent physiological characteristics and behavior characteristics of a living being, has been widely used with the continuous development of computer technology. The existing biological identification technology is commonly used for identifying ecological organisms, and data to be identified needs to be transmitted during biological identification, however, the existing data transmission is easy to block, so that the data transmission is slow, and the biological identification efficiency is influenced.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides an ecological biological identification method based on a NoC algorithm.
The invention provides an ecological biological identification method based on NoC algorithm, comprising the following steps:
s1, initiating an ecological biological identification request, and acquiring biological image data in an ecological environment according to the request;
s2, processing the collected biological image data and extracting biological characteristic data in the biological image;
s3, making the biological characteristic data into a data packet, and sending the data packet to a destination address for biological identification;
s4 relieving network congestion through NoC algorithm: selecting the channel through XY routing;
s41, judging whether the target-current X direction is correct, if the target X-current X direction is incorrect, executing step S42, if the target X-current X direction is correct, executing step S43;
s42, judging whether the destination X is larger than the current X, routing to the west when the destination X is not larger than the current X, and routing to the east when the destination X is larger than the current X;
s43, judging whether the target X is equal to the current X, when the target X is equal to the current X, receiving the packet, when the target X is equal to the current X, executing the step S44;
s44, judging whether the destination Y is larger than the current Y, if the destination Y is not larger than the current Y, routing to the north, and if the destination Y is larger than the current Y, routing to the south;
s5, receiving the sent biological characteristic data packet and carrying out ecological biological identification.
Preferably, the step S1 encrypts the biometric image data using the public key to obtain encrypted biometric image data, and the step S2 decrypts the encrypted biometric image data using the matched private key.
Preferably, the step S2 is to process the acquired biological image data: and acquiring biological image data, filtering the biological image data, determining the filtered data as effective data, performing format conversion processing on the effective data, and extracting biological characteristic data from the converted data.
Preferably, the step S2 is preceded by preprocessing the biological image data by an image normalization method and an image enhancement method.
Preferably, in step S2, the edge detection of the image to be recognized is performed by using a spatial domain gradient operator in a plurality of scale spaces into which the image information is decomposed by performing decomposition domain transformation on the biological image in the spatial domain.
Preferably, the edge detection of the image to be recognized: and performing edge detection on the image to be identified by using the wavelet.
Preferably, the step S1 is preceded by collecting biometric data, and making the collected biometric data into a biometric target, and the step S5 matches all or part of the biometric data packet with the biometric template to obtain a biometric result.
Preferably, the biometric data packet received in step S5 is sent to a repository for storage.
In the invention, by setting the NoC algorithm, after a routing path is blocked at a certain node, the routing path can be routed according to the sequence of the first dimension X and the second dimension Y, but a data packet can be sent to the other dimension, so that the network congestion can be relieved to a certain extent, and the biological identification speed is improved.
Drawings
FIG. 1 is a flow chart of the method for identifying ecological organisms based on NoC algorithm according to the present invention;
fig. 2 is a flow chart of network congestion alleviation by the NoC algorithm of the NoC algorithm-based ecological biometric identification method provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-2, the NoC algorithm-based ecological biological identification method includes the following steps:
s1, initiating an ecological biological identification request, and acquiring biological image data in an ecological environment according to the request;
s2, processing the collected biological image data and extracting biological characteristic data in the biological image;
s3, making the biological characteristic data into a data packet, and sending the data packet to a destination address for biological identification;
s4 relieving network congestion through NoC algorithm: selecting the channel through XY routing;
s41, judging whether the target-current X direction is correct, if the target X-current X direction is incorrect, executing step S42, if the target X-current X direction is correct, executing step S43;
s42 judging whether the target X is larger than the current X, when the target X is not larger than the current X, routing to the west, when the target X is larger than the current X, routing to the east;
s43, judging whether the target X is equal to the current X, when the target X is equal to the current X, receiving the packet, when the target X is equal to the current X, executing the step S44;
s44, judging whether the destination Y is larger than the current Y, if the destination Y is not larger than the current Y, routing to the north, and if the destination Y is larger than the current Y, routing to the south;
s5, receiving the transmitted biological characteristic data packet and carrying out ecological biological identification.
In the present invention, step S1 encrypts the biometric image data using the public key to obtain encrypted biometric image data, and step S2 decrypts the encrypted biometric image data using the matched private key.
In the present invention, step S2 processes the acquired biological image data: and acquiring biological image data, filtering the biological image data, determining the filtered data as effective data, performing format conversion processing on the effective data, and extracting biological characteristic data from the converted data.
In the present invention, the pre-processing of the biological image data is performed by using the image normalization method and the image enhancement method before step S2.
In the present invention, step S2 performs decomposition domain transformation on the biological image in the spatial domain, so that the edge detection of the image to be recognized is performed by using a spatial domain gradient operator in a plurality of scale spaces into which the image information is decomposed.
In the invention, the edge detection of the image to be identified: and detecting the edge of the image to be identified by utilizing the wavelet.
In the present invention, the biometric data is collected before step S1, and the collected biometric data is made into a biometric target, and step S5 matches all or part of the biometric data packet with the biometric template to obtain a biometric result.
In the present invention, the biometric data packet received in step S5 is sent to a repository for storage.
The invention comprises the following steps: initiating an ecological biological identification request, and acquiring biological image data in an ecological environment according to the request; processing the acquired biological image data and extracting biological characteristic data in the biological image; making the biological characteristic data into a data packet, and sending the data packet to a destination address for biological identification; network congestion is relieved by NoC algorithm: selecting warp by XY routing; s41, judging whether the target-current X direction is correct, if the target X-current X direction is incorrect, executing step S42, if the target X-current X direction is correct, executing step S43; s42 judging whether the target X is larger than the current X, when the target X is not larger than the current X, routing to the west, when the target X is larger than the current X, routing to the east; s43, judging whether the target X is equal to the current X, when the target X is equal to the current X, receiving the packet, when the target X is equal to the current X, executing the step S44; s44, judging whether the destination Y is larger than the current Y, if the destination Y is not larger than the current Y, routing to the north, and if the destination Y is larger than the current Y, routing to the south; and receiving the transmitted biological characteristic data packet and performing ecological biological identification.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. The ecological biological identification method based on the NoC algorithm is characterized by comprising the following steps:
s1, initiating an ecological biological identification request, and acquiring biological image data in an ecological environment according to the request;
s2, processing the collected biological image data and extracting the biological characteristic data in the biological image;
s3, making the biological characteristic data into a data packet, and sending the data packet to a destination address for biological identification;
s4 relieving network congestion through NoC algorithm: selecting the channel through XY routing;
s41, judging whether the target-current X direction is correct, if the target X-current X direction is incorrect, executing step S42, if the target X-current X direction is correct, executing step S43;
s42 judging whether the target X is larger than the current X, when the target X is not larger than the current X, routing to the west, when the target X is larger than the current X, routing to the east;
s43, judging whether the target X is equal to the current X, when the target X is equal to the current X, receiving the packet, when the target X is equal to the current X, executing the step S44;
s44, judging whether the destination Y is larger than the current Y, if the destination Y is not larger than the current Y, routing to the north, and if the destination Y is larger than the current Y, routing to the south;
s5, receiving the sent biological characteristic data packet and carrying out ecological biological identification.
2. The NoC algorithm-based ecological biometric authentication method according to claim 1, wherein the step S1 encrypts the biometric image data using a public key to obtain encrypted biometric image data, and the step S2 decrypts the encrypted biometric image data using a matching private key.
3. The NoC algorithm-based ecological biometric recognition method according to claim 1, wherein the step S2 is to process the collected biometric image data: acquiring biological image data, filtering the biological image data, determining the filtered data as effective data, performing format conversion processing on the effective data, and extracting biological characteristic data from the converted data.
4. The NoC algorithm-based ecological biometric identification method according to claim 1, wherein the step S2 is preceded by preprocessing the biometric image data by image normalization and image enhancement.
5. The NoC algorithm-based ecological biological recognition method according to claim 1, wherein the step S2 is implemented by performing decomposition domain transformation on the biological image in a spatial domain, and performing edge detection on the image to be recognized by using a spatial domain gradient operator in a plurality of scale spaces into which the image information is decomposed.
6. The NoC algorithm-based ecological biometric identification method according to claim 5, wherein the edge detection of the image to be identified comprises: and detecting the edge of the image to be identified by utilizing the wavelet.
7. An ecological biometric method in accordance with claim 1 through NoC algorithm, wherein the biometric data is collected before step S1, the collected biometric data is made into a biometric target, and all or part of the biometric data packet is matched with the biometric template to obtain the biometric result in step S5.
8. The NoC algorithm-based ecological biometric method according to claim 7, wherein the biometric data packet received in the step S5 is sent to a repository for storage.
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Citations (4)
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| CN105975838A (en) * | 2016-06-12 | 2016-09-28 | 北京集创北方科技股份有限公司 | Secure chip, biological feature identification method and biological feature template registration method |
| CN106209518A (en) * | 2016-08-08 | 2016-12-07 | 合肥工业大学 | A kind of dynamic steering routing algorithm based on " bag circuit " switching technology |
| CN108090126A (en) * | 2017-11-14 | 2018-05-29 | 维沃移动通信有限公司 | Image processing method, device and mobile terminal, image-recognizing method and server |
| WO2020191547A1 (en) * | 2019-03-22 | 2020-10-01 | 华为技术有限公司 | Biometric recognition method and apparatus |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105975838A (en) * | 2016-06-12 | 2016-09-28 | 北京集创北方科技股份有限公司 | Secure chip, biological feature identification method and biological feature template registration method |
| CN106209518A (en) * | 2016-08-08 | 2016-12-07 | 合肥工业大学 | A kind of dynamic steering routing algorithm based on " bag circuit " switching technology |
| CN108090126A (en) * | 2017-11-14 | 2018-05-29 | 维沃移动通信有限公司 | Image processing method, device and mobile terminal, image-recognizing method and server |
| WO2020191547A1 (en) * | 2019-03-22 | 2020-10-01 | 华为技术有限公司 | Biometric recognition method and apparatus |
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