Facial Feature Extraction For Face Recognition
Sahar Adnan, Fatima Ali, Ashwan Anwer Abdulmunem · Journal of Physics Conference Series · 2020
System of face recognition techniques plays a crucial role in life, and Face recognition is one among the biometric techniques used for identification of humans. among which it's utilized in security protection and protection systems (electronic door through the face) and in advertisements, the foremost famous of which is Facebook, which uses face recognition technology in terms of garments and hairstyle this technique has advantages that are easy to use, accurate and unnecessary to the human factor. this technique has been programmed through algorithms and high algorithms to research the position of the top and therefore the background image, and a few define some areas of the face consistent with the programmed algorithms and the most idea of our work is to extract the features from the face by using some techniques like (HOG, LBP, PCA, SURF, HAARIS) Then, the KNN algorithm is applied to seek out the similarity ratio between the training image that stored within the system and testing image. Our dataset contained about 100 images (60 training images, 40 testing image) of various people and when applying the techniques, we embraced that the hog algorithm is that the most effective compared to other algorithms with a hit rate of quite 85%.