Face Recognition Based on Convolutional Neural Network

In this paper, we collect the picture data to be processed by gray scale, and use the python environment configured by computer to train and learn the processed training data. Finally, the accuracy rate is above 95% after the model training, which shows that the method of convolutional neural network is very efficient.

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Publication Details

Journal
Journal of Computing and Electronic Information Management
Published
2025-08-29
DOI
https://doi.org/10.54097/ekj7m571
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
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article

Face Recognition Based on Convolutional Neural Network

Guangxin Wu
Journal of Computing and Electronic Information Management
Remote Sensing and Land Use
article

Face Recognition Based on Convolutional Neural Network

Guangxin Wu
article en

Abstract

In this paper, we collect the picture data to be processed by gray scale, and use the python environment configured by computer to train and learn the processed training data. Finally, the accuracy rate is above 95% after the model training, which shows that the method of convolutional neural network is very efficient.

Journal of Computing and Electronic Information ManagementVol. 18(1)
Guangdong University of Petrochemical Technology (CN)
Openalex Percentile: Top 72%
Remote Sensing and Land Use
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Face Recognition Based on Convolutional Neural Network — Guangxin Wu · Journal of Computing and Electronic Information Management (2025) | TGRS Research Map | TGRS