Shivakumara, P. and Basavaraja, V. and Harsha Gowda, S. and Guru, D. S. and Pal, Umapada and Lu, Tong (2018) A new RGB based fusion for forged IMEI number detection in mobile images. In: 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR).
Full text not available from this repository. (Request a copy)Abstract
As technology advances to make living comfortable for people, at the same time, different crimes also increase. One such sensitive crime is creating fake International Mobile Equipment Identity (IMEI) for smart mobile devices. In this paper, we present a new fusion based method using R, G and B color components for detecting forged IMEI numbers. To the best of our knowledge, this is the first work for forged IMEI number detection in mobile images. The proposed method first finds variances for R, G and B images of a forged input image to study local changes. The variances are used to derive weights for respective color components. The same weights are convolved with respective pixel values of R, G and B components, which results in the fused image. For the fused image, the proposed method extracts features based on sparsity, the number of connected components, and the average intensity values for edge components in respective R, G and B components, which gives six features. The proposed method finds absolute difference between fused and input images, which gives feature vector containing six difference values. The proposed method constructs templates based on samples chosen randomly. Feature vectors are compared with the templates for detecting forged IMEI numbers. Experiments are conducted on our own dataset and standard datasets to evaluate the proposed method. Furthermore, comparative studies with the related existing methods show that the proposed method outperforms the existing methods.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | feature extraction;image colour analysis;image fusion;mobile computing;new RGB based fusion;forged IMEI number detection;mobile images;sensitive crime;smart mobile devices;IMEI numbers;forged input image;respective pixel values;B components;connected components;edge components;input images;feature vector;fusion based method;color components;fake international mobile equipment identity;Feature extraction;Image color analysis;Image edge detection;Forgery;Software;Printers;Image segmentation;IMEI number, Color spaces, Fusion, Template mathcing, Forgery detection |
| Subjects: | D Physical Science > Computer Science |
| Divisions: | Department of > Computer Science |
| Depositing User: | Manjula P Library Assistant |
| Date Deposited: | 08 Nov 2019 11:06 |
| Last Modified: | 01 Dec 2022 05:47 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/9903 |
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