Abstract
In this paper, a method is proposed that manipulates images in a manner that hinders face recognition by automatic recognition algorithms. The purpose of this method, is to partly degrade image quality, so that humans can identify the person
or persons in a scene, while common classification algorithms fail to do so. The approach used to achieve this involves the use of singular value decomposition (SVD). From experiments it can be concluded that, the method reduces the percentage of correct classification rate by over 90% . In addition, the final image is
not degraded beyond recognition by humans.
or persons in a scene, while common classification algorithms fail to do so. The approach used to achieve this involves the use of singular value decomposition (SVD). From experiments it can be concluded that, the method reduces the percentage of correct classification rate by over 90% . In addition, the final image is
not degraded beyond recognition by humans.
Original language | English |
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Title of host publication | 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2014) |
Subtitle of host publication | Proceedings of a meeting held 26-30 May 2014, Opatija, Croatia |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1240-1245 |
Number of pages | 6 |
ISBN (Electronic) | 9789532330816 |
ISBN (Print) | 9781479956579 |
DOIs | |
Publication status | Published - Sep 2014 |
Event | IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) - oPATIJA/aBBAZIA, Croatia Duration: 30 May 2014 → 3 Jun 2014 |
Conference
Conference | IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) |
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Country/Territory | Croatia |
City | oPATIJA/aBBAZIA |
Period | 30/05/14 → 3/06/14 |