| Extracting hidden image using histogram, DFT and SVM |
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Annual Bangalore Compute Conference
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Proceedings of the 2nd Bangalore Annual Compute Conference on 2nd Bangalore Annual Compute Conference
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Bangalore, India
POSTER SESSION: List of accepted posters
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Article No.: 26
Year of Publication: 2009
ISBN:978-1-60558-476-8
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Authors
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T. H. Manjula Devi
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Dayananda Sagar College of Engineering, Bangalore
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Pooja P. Shenoy
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University Visvesvaraya College of Engineering, Bangalore University, Bangalore
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Swathi Saigali
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University Visvesvaraya College of Engineering, Bangalore University, Bangalore
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Harsha Mathew
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University Visvesvaraya College of Engineering, Bangalore University, Bangalore
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K. B. Raja
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University Visvesvaraya College of Engineering, Bangalore University, Bangalore
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K. R. Venugopal
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University Visvesvaraya College of Engineering, Bangalore University, Bangalore
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L. M. Patnaik
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Defence Institute of Advanced Technology, Puna
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ABSTRACT
In covert communication, Information hiding is rapidly gaining momentum. There are many sophisticated techniques being developed in steganography. There is a need of universal method to detect hidden image. We have proposed a Universal method to detect hidden message using Histogram, Discrete Fourier Transform and SVM (UDHDS). When compared to cover image stego image has irregular statistical characteristics. one class SVM is trained by these statistical features which are generated Using Histogram and DFT to discriminate the cover and stego image. The number of statistical features is less in UDHDS Algorithm when compared to the existing algorithm and found to be more efficient.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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