A Partial Face Encryption in Real World Experiences Based on Features Extraction from Edge Detection

A Partial Face Encryption in Real World Experiences Based on Features Extraction from Edge Detection

— Dlib, Partial encryption, Susan, User Face

User confidentiality protection is concerning a topic in control and monitoring spaces. In image, user's faces security in concerning with compound information, abused situations, participation on global transmission media and real-world experiences are extremely significant. For minifying the counting needs for vast size of image info and for minifying the size of time needful for the image to be address computationally. consequently, partial encryption user-face is picked. This study focuses on a large technique that is designed to encrypt the user's face slightly. Primarily, dlib is utilizing for user-face detection. Susan is one of the top edge detectors with valuable localization characteristics marked edges, is used to extract features vectors from user faces. Moreover, the relevance of the suggested generating key is led to a crucial role in security improvement by producing them as difficult to intruders. According to PSNR values, the recommended encryption algorithms provided an adequate outcome in the encryption, they had a lower encrypting duration and a larger encrypting impact.

Raghad Abdulaali Azeez

Abeer Salim Jamil

Mohammed Salih Mahdi

International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 07 (2023); pp. 69-81

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2023-04-05

Copyright (c) 2023 Haider TH.Salim ALRikabi, Raghad Abdulaali Azeez, Abeer Salim Jamil, Mohammed Salih Mahdi

https://creativecommons.org/licenses/by/4.0

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eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article