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FaceFilter: Face Identification with Deep Learning and Filter Algorithm
Joint Authors
Alghaili, Mohammed
Li, Zhiyong
Ali, Hamdi A. R.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Although significant advances have been made recently in the field of face recognition, these have some limitations, especially when faces are in different poses or have different levels of illumination, or when the face is blurred.
In this study, we present a system that can directly identify an individual under all conditions by extracting the most important features and using them to identify a person.
Our method uses a deep convolutional network that is trained to extract the most important features.
A filter is then used to select the most significant of these features by finding features greater than zero, storing their indices, and comparing the features of other identities with the same indices as the original image.
Finally, the selected features of each identity in the dataset are subtracted from features of the original image to find the minimum number that refers to that identity.
This method gives good results, as we only extract the most important features using the filter to recognize the face in different poses.
We achieve state-of-the-art face recognition performance using only half of the 128 bytes per face.
The system has an accuracy of 99.7% on the Labeled Faces in the Wild dataset and 94.02% on YouTube Faces DB.
American Psychological Association (APA)
Alghaili, Mohammed& Li, Zhiyong& Ali, Hamdi A. R.. 2020. FaceFilter: Face Identification with Deep Learning and Filter Algorithm. Scientific Programming،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209128
Modern Language Association (MLA)
Alghaili, Mohammed…[et al.]. FaceFilter: Face Identification with Deep Learning and Filter Algorithm. Scientific Programming No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1209128
American Medical Association (AMA)
Alghaili, Mohammed& Li, Zhiyong& Ali, Hamdi A. R.. FaceFilter: Face Identification with Deep Learning and Filter Algorithm. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209128
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209128