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Ecological biological recognition method based on DeepID-Net algorithm

A biometric and ecological technology, applied in the field of biometrics, can solve problems such as low recognition accuracy, misleading, and wrong recognition

Pending Publication Date: 2022-06-03
远景(深圳)数字技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the existing ecological organisms are identified, they are easily misled by local textures, which can easily cause identification errors, and the identification accuracy is not high, which has limitations.

Method used

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  • Ecological biological recognition method based on DeepID-Net algorithm
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Embodiment Construction

[0029] 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.

[0030] refer to Figure 1-2 , an ecological biometric identification method based on the DeepID-Net algorithm, including the following steps:

[0031] S1 initiates an ecological biometric identification request, and collects biological image data in the ecological environment according to the request;

[0032] 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;

[0033] S3 performs target detection on the preprocessed biological image data through the DeepID-Net algorithm;

[0034] S31 selective search;

[0035] S32 b...

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Abstract

The invention discloses an ecological biological recognition method based on a DeepID-Net 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 DeepID-Net algorithm; and performing ecological biological recognition on the detected biological image data. According to the method, the DeepID-Net algorithm is set, so that detection and classification are more accurate, misleading caused by local textures is avoided, and the precision of biological recognition can be effectively 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 the DeepID-Net 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 and Behavioural features for biometric authentication. When the existing ecological creatures are identified, they are easily misled due to local textures, and it is easy to cause identification errors, and the identification accuracy is not high, which has limitations. SUMMARY OF THE INVENTION [0003] Based on the technical problems existing in the background art, the present invention proposes an ecological biometric identification method based on the DeepID-Net alg...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/00G06K9/62G06N3/04G06N3/08G06V10/764G06V10/26G06V10/74G06V10/82
CPCG06N3/08G06N3/045G06F18/22G06F18/241
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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