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- W3210171750 abstract "Face recognition refers to the process of detecting faces from images. In recent years, face recognition has attracted wide attention due to its non-contact method, fast recognition process, and stability. However, due to the noise in the image and the deficient performance of the face recognition algorithm, the existing face recognition algorithm has low robustness and low accuracy. This paper proposed a simulation model to tackle this issue, which can be utilized to analyze the correlation between model performance and image denoising. We use the control variable method to select the best combination of the image denoising and edge recognition methods. We note that the developed model obtained higher accuracy and consistency of edges." @default.
- W3210171750 created "2021-11-08" @default.
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- W3210171750 date "2021-09-24" @default.
- W3210171750 modified "2023-10-16" @default.
- W3210171750 title "Image Recognition Based on Denoising and Edge Detection" @default.
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- W3210171750 doi "https://doi.org/10.1109/cei52496.2021.9574534" @default.
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