Author : Nitheesh 1
Date of Publication :7th May 2016
Abstract: Relaying medical data from one location to other can provide better healthcare services in remote locations. Image steganography is an approach, where patient reports are embedded in lower bit planes of an image and are then transmitted. Former techniques employ encoding of raw text and placing them on lower bit planes providing single layer of security. Standard encoding and decoding methods are incorporated to cipher the information .In proposed method encrypted data is inserted into quick response codes as it increases data holding capacity and also provides an extra layer of security. The Stego (image in which QR code is hidden) image and original image are similar in appearance ensuring secrecy. There will be no loss of any information in QR code as original pixel values are retained during the reception. Data retrieval is smooth and can be performed without having any distortion. Implying this mechanism provides multilayer security, improved readability and makes transmission of information easy.
Reference :
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[1]. Cheddad, Abbas, et al. "Digital image steganography: Survey and analysis of current methods." Signal processing 90.3 (2010): 727-752.
[2]. Sheth, Ravi K., and Rashmi M. Tank. "Image Steganography Techniques ."International Journal Of Computer Engineering And Sciences 1.2 (2015): 10-15.
[3]. Hussain, Mehdi, and Mureed Hussain. "A survey of image steganography techniques." (2013).
[4]. Wu, Da-Chun, and Wen-Hsiang Tsai. "A steganographic method for images by pixel-value differencing." Pattern Recognition Letters 24.9 (2003): 1613-1626.
[5]. Zolfaghari, Behrouz, Saadat Pour Mozafari, and Mehrdad Zobeiri. "ZEDNOT: An Approach to Combining Cryptography and Image Steganography Using Reversible Logic Functions." be published in Proceedings of International Conference on Intelligent Network and Computing (ICINC 2010), Kuala Lumpur, Malaysia. 2010.
[6]. Vellaisamy, Seenivasagam, and Vyshnavi Ramesh. "Inversion attack resilient zero-watermarking scheme for medical image authentication." Image Processing, IET 8.12 (2014): 718-727.
[7]. Thota Sriram, K.V.Rao, S Biswas, Basheer Ahmed, “Application of barcode technology in automated storage and retrieval systems”, BHEL.
[8]. Kaushik, Sona. "Strength of Quick Response Barcodes and Design of Secure Data Sharing System." International Journal on Advanced Computing & Science (IJACSA) (2011).
[9]. Zhi Liu, Herong Zheng, Huaguo Jia; “Design and Implementation of Color Two-Dimension Barcode with High Compression Ratio for Chinese Characters”, International Conference on Information Engineering and Computer Science, 2009 (ICIECS 2009).
[10]. Yang, Hengfu, Xingming Sun, and Guang Sun. "A high-capacity image data hiding scheme using adaptive LSB substitution." Radio Eng 18.4 (2009): 509.
[11]. Nagaraju, C., and S. S. ParthaSarathy. "Embedding ECG and patient information in medical image." Recent Advances and Innovations in Engineering (ICRAIE), 2014. IEEE, 2014.
[12]. Panyindee, C., and Chuchart Pintavirooj. "QR codes application for reversible watermarking algorithm in biomedical images." Biomedical Engineering International Conference (BMEiCON), 2013 6th. IEEE, 2013