FACE EDGE DETECTION TO OPEN THE APPLICATION
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Abstract
Technological improvements are increasingly developing and increasing. Facial Expression Recognition (FER) aims to recognize internal human emotions from one or more observations. In human recognition and facial expressions, global and local approaches have a major role in biometrics. Digital image processing using faces as a tool for detection and recognition before using certain applications that are used as a first step to enter the system or in an application with the aim of monitoring security . Edge detection plays an important role in the image processing field. Various edge detection techniques were obtained including Sobel, PSO Preweitt. This technique uses several limitations such as fixed edge thickness and several parameters such as problematic thresholds to be applied. Although many different edge detection methods have been proposed for grayscale, color, and multispectral images, they still face difficulties when extracting edge features from hyperspectral (HSI) images containing a large number of bands with very narrow gaps in the spectral domain. The method used here is a method based on artificial intelligence in the form of edge detection, where the photo of the person concerned is used as an accurate input data as a face detection tool. The simulation results obtained for performance evaluation show that the proposed algorithm is safe, and feasible. The feature used here is the edge detection feature with various results
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