Fingerprint retrieval method based on sweat pore characteristics and neural network

A neural network and sweat pore technology, applied in the field of artificial intelligence, can solve problems such as fingerprint retrieval failure and insufficient number of feature points, and achieve the effect of improving accuracy

Active Publication Date: 2021-11-16
SHENZHEN INST OF ARTIFICIAL INTELLIGENCE & ROBOTICS FOR SOC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional fingerprint recognition algorithms use minutiae features to search for the most similar fingerprint list to the input fingerprint image through image retrieval technology, but when minutiae faces fingerprint fragments, fingerprint retrieval often fails due to insufficient number of feature points

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  • Fingerprint retrieval method based on sweat pore characteristics and neural network
  • Fingerprint retrieval method based on sweat pore characteristics and neural network
  • Fingerprint retrieval method based on sweat pore characteristics and neural network

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Embodiment Construction

[0072] The present invention discloses a fingerprint retrieval method, device, intelligent terminal, and storage medium based on sweat pore characteristics and neural networks. Detailed description. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0073] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element...

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Abstract

The invention discloses a fingerprint retrieval method based on sweat pore features and a neural network. The method comprises the following steps: acquiring a fingerprint image; extracting global features of the fingerprint image and sweat pore features of the fingerprint image based on a trained feature extraction model; and screening and matching the fingerprint image for a plurality of times according to the global features of the fingerprint image and the sweat pore features of the fingerprint image to obtain a retrieval result of the fingerprint image. The global feature and the sweat pore feature of the fingerprint image are extracted, the fingerprint image is screened and matched for multiple times based on the two features, and the feature information can be effectively extracted by the feature extraction model due to rich sweat pore features, so that the fingerprint image retrieval speed and precision are improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a fingerprint retrieval method based on sweat pore features and a neural network. Background technique [0002] Fingerprint Retrieval Fingerprint Retrieval is to search for fingerprint pictures similar to the input fingerprint from a fingerprint library to determine the identity of the input fingerprint image. Traditional fingerprint recognition algorithms use minutiae features to search for the most similar fingerprint list to the input fingerprint image through image retrieval technology, but when minutiae faces fingerprint fragments, fingerprint retrieval often fails due to insufficient number of feature points. [0003] Therefore, the prior art still needs to be improved and developed. Contents of the invention [0004] The technical problem to be solved by the present invention is to provide a fingerprint retrieval method based on sweat pore features and n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/24G06F18/253
Inventor 庞倩婷徐元荣卢光明张大鹏
Owner SHENZHEN INST OF ARTIFICIAL INTELLIGENCE & ROBOTICS FOR SOC
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