Camera-based Document Image Scrambling for Security in Cloud Computing Environment
Nagesh Salimath1, Satishkumar Mallappa2, Jitendra Sheetlani3

1Nagesh Salimath, Department of Computer Science, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Madhya Pradesh, India.

2Satishkumar Mallappa, Departement of Computer Science, Gulbarga University, Kalaburagi, KA, India.

3Jitendra Sheetlani, Department of Computer Science, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Madhya Pradesh, India.

Manuscript received on 04 April 2019 | Revised Manuscript received on 11 April 2019 | Manuscript Published on 26 April 2019 | PP: 352-355 | Volume-8 Issue-6S April 2019 | Retrieval Number: F61280486S19/19©BEIESP

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Abstract: To provide a security to the documents to prohibit from unauthorized access in the cloud is accomplished by scrambling document images is presented in this paper. For scrambling of the document image, we have considered the camera captured document images. As we know the utilization of multi-media devices and services are increased tremendously in the present scenario. Peoples are using more and more electronic gadgets like smartphones and those things embedded with high definition cameras, by using the cameras people captures the many different kinds of images. In those images, document images are also present. For the fragile document, there is a need to capture to save the document information. Here in this paper, the safety of the document image is taken consideration. The document image may store in cloud computing environment or that document image may send or receive from one place to another. For this purpose, one should need to give the security of the document image. To resolve this security issues with document images this experiment is carried out. Once, the image is scrambled then it may store or transport anywhere without a problem. For the scrambling of the camera based document image, we have considered the Quantum Hilbert Image Scrambling method. After scrambling the image one can store in the cloud computing environment for the safer store and access to the document image. For the experiment we have used two kinds of datasets, IUPR standard dataset and our own dataset. The obtained results from this method are encouraging.

Keywords: Scrambling, Descrambling, Quantum Hilbert, Document Image, Cloud Computing.
Scope of the Article: Computer Science and Its Applications