2021
DOI: 10.1155/2021/6686759
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Recognition of Augmented Frontal Face Images Using FFT-PCA/SVD Algorithm

Abstract: In spite of the differences in visual stimulus of human beings such as ageing, changing conditions of a person, and occlusion, recognition can even be done at a glance by the human eye many years after the previous encounter. It has been established that facial differences like the hairstyle changes, growing of one’s beard, wearing of glasses, and other forms of occlusions can hardly hinder the power of the human brain from making a face recognition. However, the same cannot easily be said about automated inte… Show more

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Cited by 10 publications
(2 citation statements)
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“…Many researchers [42] , [32] have employed MICE augmentation to reconstruct occluded face images, and recommended MICE as a suitable imputation technique for finding missing pixel values in occluded images.…”
Section: Methodsmentioning
confidence: 99%
“…Many researchers [42] , [32] have employed MICE augmentation to reconstruct occluded face images, and recommended MICE as a suitable imputation technique for finding missing pixel values in occluded images.…”
Section: Methodsmentioning
confidence: 99%
“…lately, deep learning manners, particularly DCNN, have seen significant success in creating user face identification systems. utilizing MTCNN for trouble of the closed user face detection [33][34][35], however, utilizing Google Face Net and SVM [36] utilizing augmentation and CNN as a brilliance manner for detecting user face. For encrypting user face, focus on a several distinct investigations: in [37] utilizing LFSR and Haar Wavelet.…”
Section: Related Workmentioning
confidence: 99%