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Volume & Issue no: Volume 4, Issue 3, May - June 2015

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Title:
Plagiarized Image Detection System based on CBIR
Author Name:
Prajakta Mahendra Ovhal, Prof. B.D. Phulpagar
Abstract:
Abstract Plagiarism detection is a well known phenomenon in the academic arena. Copying other people is considered as a serious offence that needs to be checked. For this many plagiarism detection systems are available. Many of such plagiarism systems donot include figures and diagrams for checking. They simply discard them which results in look holes that people can take advantage of. In short people can plagiarize diagrams and figures easily without the current plagiarism system detecting it. So there is a need to develop a system that will detect plagiarism in diagrams and figures as well. The main goal of this system is to develop a image plagiarism system which will be primarily based in CBIR. This system will focuses on image detection. There will be a database consisting of images. The user will give an image as input. The features of input image will be extracted and it will be compared with the features of the images present in database. The one which are most matching will be retrieved. The output image which is retrieved from database will be the similar image of the input image. Keywords: Content Based Image Retrieval (CBIR), Red Green Blue model (RGB), Global Color Histogram (GCH), Local Color Histogram (LCH), Cyan Magenta Yellow model (CMYK), Hue Saturation Value (HSV), Hue Lightness Saturation (HSL).
Cite this article:
Prajakta Mahendra Ovhal, Prof. B.D. Phulpagar , " Plagiarized Image Detection System based on CBIR " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 4, Issue 3, May - June 2015 , pp. 216-222 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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