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Intelligent case application method based on training sample fingerprint identification and equipment

A technology of smart tail box and fingerprint recognition, applied in the field of safes, can solve the problems of inability to guarantee, affecting the accuracy of fingerprint recognition, high accuracy rate, etc.

Active Publication Date: 2021-09-07
BEIJING WILION TIME TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the traditional fingerprint identification technology still has certain limitations and cannot be applied to the tail box unlocking control with high quality.
On the one hand, the traditional fingerprint matching process cannot guarantee a high accuracy rate, which directly affects the recognition accuracy of fingerprints; on the other hand, the traditional fingerprint recognition model often does not have good universality. It is difficult to judge the detection image

Method used

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  • Intelligent case application method based on training sample fingerprint identification and equipment

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Please refer to figure 1 shown. An application method for identifying smart tail boxes based on training sample fingerprints provided by an embodiment of the present application includes: S1: collecting fingerprint images of multiple smart tail box holders as potential positive samples, and collecting multiple non-smart tail box holders The fingerprint image is used as a potential negative sample; S2: optimize the image details of the potential positive sample and the potential negative sample to obtain the positive sample after image processing and the negative sample after image processing; S3: use the automatic encoder to process the positive sample after image processing Samples and negative samples after image processing are deeply characterized to obtain characterized positive samples and negative samples after representation; S4: The difference between the Euclidean distance calculations for the characterized positive samples, and the high Only one positive samp...

Embodiment 2

[0050] A computer-readable storage medium is used to store program codes, and the program codes are used to execute the method.

Embodiment 3

[0052] A computing device, the computing device includes a processor and a memory: the memory is used to store program codes and transmit the program codes to the processor; the processor is used to execute methods according to instructions in the program codes.

[0053] Wherein, the memory 101 may be, but not limited to, random access memory (Random Access Memory, RAM), read-only memory (Read Only Memory, ROM), programmable read-only memory (Programmable Read-Only Memory, PROM), erasable Read-only memory (Erasable Programmable Read-Only Memory, EPROM), Electric Erasable Programmable Read-Only Memory (EEPROM), etc.

[0054] The processor 102 may be an integrated circuit chip with signal processing capabilities. The processor 102 can be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; it can also be a digital signal processor (Digital Signal Processing, DSP), an application-specif...

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Abstract

The invention provides an intelligent case application method based on training sample fingerprint identification and equipment and relates to the field of safety cases. According to the technical schemes of the invention, a plurality of models such as multi-scale image detail optimization processing, an auto-encoder, an SVM (Support Vector Machine) and a grouped KNN are utilized to judge whether fingerprints are fingerprints of an intelligent case holder or not, and support is provided for safe use of the intelligent case. According to the method and equipment of the invention, the precision and robustness of fingerprint image recognition can be improved, and the safe use of the intelligent case is ensured.

Description

technical field [0001] The invention relates to the field of safes, in particular to an application method and equipment for identifying smart tail boxes based on training sample fingerprints. Background technique [0002] Smart tail boxes have played an important role in the financial field and are increasingly recognized by the public. It can not only provide users with great convenience, but also guarantee the safety of funds and important documents to a certain extent. Since a large amount of funds and important documents are stored in the smart tail box, its use security has attracted more and more attention. Combined with artificial intelligence technology, many well-known research institutions and high-tech companies apply fingerprint recognition technology to smart tail boxes, and use fingerprint recognition to unlock and control smart tail boxes, aiming to improve the safety of smart tail boxes. [0003] At present, the traditional fingerprint identification techn...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G07C9/00
CPCG07C9/00563G07C9/00912G06N3/045G06F18/2411G06F18/214
Inventor 韩亚东
Owner BEIJING WILION TIME TECH
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