Image Security Performance Analysis for SVM and ANN Classification Techniques
P. Karthika1, P. Vidhya Saraswathi2
1P. Karthika, Department of Computer Applications, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
2P. Vidhya Saraswathi, Department of Computer Science and Information Technology, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
Manuscript received on 30 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 31 December 2019 | PP: 436-442 | Volume-8 Issue-4S2 December 2019 | Retrieval Number: D10961284S219/2019©BEIESP | DOI: 10.35940/ijrte.D1096.1284S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image Security has been talked about the classification extemporized in numerous structures and utilizing distinctive systems just as innovations. The upgrades continue including the quickest security refreshing the system framework. This proposes a representation for verifying the video framework alongside the system and upgrades it more by relate AI methods SVM (support vector machine) and ANN (Artificial Neural Network). Both the methods are utilized together training and testing classification to produce results which are fitting for investigation reason and subsequently, turn out to be the achievement for security.
Keywords: IoT Security, Machine Learning, Artificial Intelligence, Support Vector Machine, Artificial Neural Network, Training and Testing Classification.
Scope of the Article: Classification