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- W2774550511 abstract "Recently, in the field of speech processing, I-Vector modeling has been appealed a great deal of interest. I-Vector has shown its benefits in modeling of intra and inter-domain variabilities to a single low dimension space for speaker identification tasks. This paper presents the usage of I-Vector in camera identification as a new approach in image forensics domain. In our approach, image texture is extracted from images as our features for the I-vector system. We have used 8 camera models in our work and the result shows 99.01% accuracy. We have also conducted attacks on the test images. We gained 99.01% accuracy for rotation attack and the average accuracy of 88.71% for three level brightness attack." @default.
- W2774550511 created "2017-12-22" @default.
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- W2774550511 date "2017-10-01" @default.
- W2774550511 modified "2023-09-27" @default.
- W2774550511 title "Single image camera identification using I-vectors" @default.
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- W2774550511 doi "https://doi.org/10.1109/iccke.2017.8167913" @default.
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