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Enabling a secure match over private image collections
Joint Authors
Yunus, Hamid Abd al-Karim
Abd al-Sada, Iyad Ibrahim
Rida, Hisham Salih
Source
Journal of Kufa for Mathematics and Computer
Issue
Vol. 3, Issue 2 (31 Dec. 2016), pp.25-29, 5 p.
Publisher
University of Kufa Faculty of Mathematics and Computers Science
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Abstract EN
Image matching techniques play an essential role in many real world applications such as content based image retrieval (CBIR), computer vision, and near duplicate images.
The state of the art methods are generally assumed that the content of images is not private.
This reduces the utilization of these methods to work within only environments where images are publicly access.
Essentially, this assumption limits more practical applications, e.g., image matching between two security agencies, where images are confidential.
This paper addresses the problem of privacy-preserving image matching between two parties where images should not be revealed to each other.
The descriptor set of the queried party needs to be generated and encrypted properly using a secret key at the queried party side before being transferred to the other party.
We have developed a secure scheme to measure the cosine similarity between two descriptor sets without decryption.
Several experiments are conducted to investigate the performance of the proposed scheme.
American Psychological Association (APA)
Abd al-Sada, Iyad Ibrahim& Rida, Hisham Salih& Yunus, Hamid Abd al-Karim. 2016. Enabling a secure match over private image collections. Journal of Kufa for Mathematics and Computer،Vol. 3, no. 2, pp.25-29.
https://search.emarefa.net/detail/BIM-770981
Modern Language Association (MLA)
Abd al-Sada, Iyad Ibrahim…[et al.]. Enabling a secure match over private image collections. Journal of Kufa for Mathematics and Computer Vol. 3, no. 2 (Dec. 2016), pp.25-29.
https://search.emarefa.net/detail/BIM-770981
American Medical Association (AMA)
Abd al-Sada, Iyad Ibrahim& Rida, Hisham Salih& Yunus, Hamid Abd al-Karim. Enabling a secure match over private image collections. Journal of Kufa for Mathematics and Computer. 2016. Vol. 3, no. 2, pp.25-29.
https://search.emarefa.net/detail/BIM-770981
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 29
Record ID
BIM-770981