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Ecological biological recognition method based on ION algorithm

A technology of biometric identification and algorithm, applied in the field of biometric identification, can solve the problems of occupying storage space and inconvenient smooth operation of biometric identification, and achieve the effect of reducing the use of memory, facilitating smooth operation, and increasing data storage space

Pending Publication Date: 2022-06-07
远景(深圳)数字技术有限公司
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Problems solved by technology

Biometrics is a method of identifying biological types, but the existing biometrics requires a large amount of data collection, and the collected data needs to be stored and stored, which takes up a lot of storage space and is not convenient for the smooth operation of biometrics

Method used

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  • Ecological biological recognition method based on ION algorithm

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Embodiment Construction

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments.

[0026] refer to Figure 1-2 , an ecological biometric identification method based on the ION algorithm, including the following steps:

[0027] S1 acquires the to-be-identified image of the lake surface biological detection collection point, and stores the to-be-identified image data;

[0028] S2 splits the image data to be recognized, removes useless data information, and then merges the useful data;

[0029] S3 uses the ION algorithm to optimize the data space of the merged images to be recognized;

[0030] S31 transmits the merged image data to be recognized to the ION memory manager;

[0031] S32 allocates the image to be recognized ...

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Abstract

The invention discloses an ION algorithm-based ecological biological recognition method, which comprises the following steps of: obtaining a to-be-recognized image of a lake surface biological detection acquisition point, and storing data of the to-be-recognized image; image data to be recognized are split, useless data information is removed, and then useful data are merged; performing data space optimization on the combined to-be-recognized images through an ION algorithm; and extracting the image data from the memory manager, matching the image data with the image information, and identifying the ecological organisms. Different memory allocation mechanisms are adopted for the memory through the memory manager of the ION algorithm, the data memory can be effectively stored, use of the memory is greatly reduced, it can be guaranteed that a certain amount of memory is available all the time in a memory pool, the data storage space of biological recognition can be effectively improved, and stable operation of biological recognition is facilitated.

Description

technical field [0001] The invention relates to the technical field of biometric identification, in particular to an ecological biometric identification method based on the ION algorithm. Background technique [0002] Aquatic organisms are an effective reference for judging whether river water is polluted. The distribution and concentration of different chemical substances in the river water will determine the type and composition of aquatic organisms in the river. Some aquatic organisms can reproduce quickly in one river condition and die in another, depending on the composition of the river water. Therefore, as long as the type composition of aquatic organisms in the river is analyzed, it is possible to judge what kind of chemical substances exist in a certain river section. [0003] With the development of artificial intelligence technology, biometric technology is also becoming more and more advanced. Biometric identification is a method of identifying the type of liv...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06V40/00
CPCG06F9/5016Y02D10/00
Inventor 杨志峰沈永明张远蔡宴朋
Owner 远景(深圳)数字技术有限公司
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