Accuracy recall rate under different samples.

<div><p>Facial recognition, as an efficient and convenient biometric technology, can be applied to automatic vending systems to achieve functions such as fast checkout and personalized recommendations. To improve the accuracy and processing speed of facial recognition technology, this st...

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Bibliographic Details
Main Author:	Lu Lin (201289) (author)
Other Authors:	Yu Sang (2551267) (author), Erwei Li (771127) (author)
Published:	2025
Subjects:	Neuroscience Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified principal component analysis introducing sample partitioning demonstrating strong robustness convenient biometric technology automatic vending systems automatic vending system high noise conditions model reached 96 facial recognition technology faster processing speed process facial data average recognition accuracy facial recognition model facial recognition processing speed facial features recognition time recognition accuracy noise tolerance proposed model voxceleb2 datasets various angles study designs projection value personalized recommendations method reduces intelligent development image easier holtling transform fast checkout face image comparison methods achieve functions 24 %,
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Accuracy recall rate under different samples.

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