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

Authors

  • Raghad Abdulaali Azeez Information Technology Unit, Collage of Education ibn rushed for Human Science, University of Baghdad, Baghdad, Iraq.
  • Abeer Salim Jamil Computer Science & Information Systems Department, Al-Mansour University College, Baghdad, Iraq.
  • Mohammed Salih Mahdi Business Information College, University of Information Technology and Communica-tions, Baghdad, Iraq.

DOI:

https://doi.org/10.3991/ijim.v17i07.38753

Keywords:

— Dlib, Partial encryption, Susan, User Face

Abstract


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.

Cover iJIM Vol. 17 No. 07 (2023)

Downloads

Published

2023-04-05

How to Cite

Raghad Abdulaali Azeez, Abeer Salim Jamil, & Mohammed Salih Mahdi. (2023). A Partial Face Encryption in Real World Experiences Based on Features Extraction from Edge Detection. International Journal of Interactive Mobile Technologies (iJIM), 17(07), pp. 69–81. https://doi.org/10.3991/ijim.v17i07.38753

Issue

Vol. 17 No. 07 (2023)

Section

Papers

License

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

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution Licence (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
By submitting an article the author grants to this journal the non-exclusive right to publish it. The author retains the copyright and the publishing rights for his article without any restrictions.
This journal has been awarded the SPARC Europe Seal for Open Access Journals (What's this?)