Image Recognition Based on Denoising and Edge Detection
Yiqing Cao, Xiyan Li · 2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) · 2021
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.