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Conclusion. Our work suggests that image processing techniques based on key points of the face can improve the reliability of face recognition systems. As a result of applying the above image preprocessing method the accuracy of facial recognition system was increased by up to 12 percent.
Method. We analyzed the effectiveness of image preprocessing method based on face characteristics, which consists of 8 steps as follows: Preprocessing Gaussian filtering Border histogram Histogram equalization Edge detection Smoothing Closing Opening Smoothing again Applying the above-mentioned image processing method to face images. The following experimental steps were made, Preprocessing: 8 steps Gaussian filtering: 8 steps Border histogram: 8 steps Histogram equalization: 8 steps Edge detection: 8 steps Smoothing: 8 steps Closing: 8 steps Opening: 8 steps Smoothing: 8 steps The image filtering and histogram equalization was done in the frequency domain, and the other steps were done in the spatial domain. We also evaluated the parameters of the above-mentioned method, and the results of the experimental results are presented.
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