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  • 标题:A NOVEL APPROACH TO GENERATE FRACTAL IMAGES USING CHAOS THEORY
  • 本地全文:下载
  • 作者:K. Thamizhchelvy ; G.Geetha
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2014
  • 卷号:5
  • 期号:4
  • 页码:152-157
  • 出版社:Engg Journals Publications
  • 摘要:We propose the fractal generation method to generate the different types of fractals using chaos theory. The fractals are generated by Iterated Function System (IFS) technique. The chaos theory is an unpredictable behavior arises in the dynamical system. Chaos in turns explains the nonlinearity and randomness. Chaotic behavior depends upon the initial condition called as �seed� or �key�. Pseudo Random Number Generator (PRNG) fixes the initial condition from the difference equations. The system uses the PRNG value and it generates the fractals, also it is hard to break. We apply the rules to generate the fractals. The different types of fractals are generated for the same data, because of the great sensitivity to the initial condition. It can be used as a digital signature in online applications such as e-Banking and online shopping.
  • 关键词:Fractals Iterated Function System (IFS); Pseudo Random Number Generator (PRNG); Chaos.
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