2010 Seventh International Conference on Information Technology: New Generations 2010
DOI: 10.1109/itng.2010.162
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A New Approach to Hindi Text Steganography Using Matraye, Core Classification and HHK Scheme

Abstract: In the field of terabit networks, hiding the existence of information is most important. Steganographic systems play a vital role in covertly transmission of information even in the presence of an arbiter. This paper describes a framework of textbased steganography for Hindi language. It introduces three new approaches for steganography, in Hindi text. First one depicts on classifying the position of matraye of Hindi Characters. Second approach focuses on the classification of Hindi characters by various OCR t… Show more

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Cited by 5 publications
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“…Devanagari is an Indian script used to write languages like Hindi, Marathi, Sanskrit and many other. Alternative embedding is used to aggrandize the certitude [8].It is achieved using Hindi hexadecimal, Character modifiers and Optical Character Recognition (OCR) tools [9]. But, encoding Hindi characters in an image is a steganographic method which is described in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Devanagari is an Indian script used to write languages like Hindi, Marathi, Sanskrit and many other. Alternative embedding is used to aggrandize the certitude [8].It is achieved using Hindi hexadecimal, Character modifiers and Optical Character Recognition (OCR) tools [9]. But, encoding Hindi characters in an image is a steganographic method which is described in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…The main disadvantage in the method was that the binary classi fication will not be effective all the time. Some of the other recent researches are like, Hindi text steganography using matraye, core classification and HHK scheme [3], which describes the steganography based on Hindi language. Similarly, the research in [4] proposed a linguistic steganography in Spanish based on synonymous paraphrasing with WSD.…”
Section: Introductionmentioning
confidence: 99%