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Ecological biological recognition method based on G-CNN algorithm

A biometric and ecological technology, applied in the field of biometrics, can solve problems such as inability to accurately and quickly identify organisms in water bodies, and inconvenient collection of biological information

Pending Publication Date: 2022-05-27
远景(深圳)数字技术有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The existing identification technology cannot accurately and quickly identify organisms in water bodies, and it is not convenient for ecological biological information collection

Method used

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  • Ecological biological recognition method based on G-CNN algorithm
  • Ecological biological recognition method based on G-CNN algorithm
  • Ecological biological recognition method based on G-CNN algorithm

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Embodiment Construction

[0031] 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, rather than all the embodiments.

[0032] refer to Figure 1-2 , an ecological biometric identification method based on the G-CNN algorithm, including the following steps:

[0033] S1 initiates an ecological biometric identification request, and collects biological image data in the ecological environment according to the request;

[0034] S2 adopts the image normalization method and the image enhancement method to preprocess the collected biological image data to obtain the preprocessed biological image data;

[0035] S3 performs target detection on the preprocessed biological image data through the G-CNN algorithm;

[0036] S31 first adds a multi-scale regular grid to t...

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Abstract

The invention discloses an ecological biological recognition method based on a G-CNN algorithm, and the method comprises the following steps: initiating an ecological biological recognition request, and collecting biological image data in an ecological environment according to the request; preprocessing the acquired biological image data by adopting an image normalization method and an image enhancement method to obtain preprocessed biological image data; performing target detection on the preprocessed biological image data through a G-CNN algorithm; and matching the detected biological image with the image information, and carrying out ecological biological recognition. According to the G-CNN, the object proposal stage is removed, and meanwhile, the number of boxes needing to be processed is reduced, so that the detection becomes faster, and the target detection precision and speed are further improved.

Description

technical field [0001] The invention relates to the technical field of biometric identification, in particular to an ecological biometric identification method based on a G-CNN algorithm. Background technique [0002] With the continuous development of computer technology, biometric technology has been widely used. Among them, biometric technology refers to the combination of computer and optical, acoustic, biosensor and biostatistics principles, etc., using the inherent physiological characteristics of the human body ( Such as fingerprints, face image, iris, etc.) and behavioral characteristics (such as handwriting, voice, gait, etc.) to carry out user authentication technology. The existing identification technology cannot accurately and quickly identify the organisms in the water body, and is not convenient for the collection of ecological biological information. SUMMARY OF THE INVENTION [0003] Based on the technical problems existing in the background art, the prese...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/10G06N3/04G06N3/08
CPCG06N3/08G06N3/045
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