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Detecting Bio-Metric Finger Patterns Using Lsb Substitution Machine Learning Method

    Authors

    • M P Rajakumar 1
    • Dr. V. Lokeswara Reddy 2
    • Dr.G. Nalinipriya 3
    • Dr.S. Thanigaivel 4
    • M R Arun 5

    1 Associate Professor, Computer Science and Engineering, St.Joseph’s College of Engineering, OMR, Chennai, Tamilnadu, India - 600119

    2 Professor, Department of Computer Science & Engineering, K.S.R.M College of Engineering, Tadigotla (Village), Krishnapuramu,Kadapa,Y.S.R (Dt), Andhra Pradesh, India--516004

    3 Professor, Department of Information Technology, Saveetha Engineering College, Saveetha Nagar, Chennai, Tamilnadu, India- 602105

    4 Assistant Professor, Department of Biotechnology,Saveetha school of Engineering,Saveetha Institute of Medical and Technical sciences, Chennai, India -602105

    5 Professor, 262-1A,Anna Street, Vivekananda Nager, Avadi, Chennai, Tamilnadu, India-600054

,
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Abstract

This paper introduces a new way to hide a message in a digital image on a spatial domain. In this way two bit messages are embedded in one pixel, which can not only change the most important bit pixel, but also the second bit level and the fourth bit level, but the embedding process at each stage only allows a bit of alternation to occur. This fast and versatile solution achieves cutting-edge results in steganographic applications with linear time and space complexity with respect to Number of cover elements. We report extensive test results for a large number of relative payloads and various distorted profiles, including the wet paper channel. Compared to the LSB-matching method, the results show that they have an acceptable ability to embed this data and that the steganalysis algorithm cannot detect it. Most newer coding schemes used in steganography (matrix embedding, wet paper codes, etc.) can be implemented using this framework.

Keywords

  • Biometric Inputs
  • Steganology
  • LSB-Compatibility
  • Bit Plane
  • Spatial Domain
  • XML
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    • Article View: 165
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European Journal of Molecular & Clinical Medicine
Volume 7, Issue 7
November 2020
Page 4880-4887
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  • Article View: 165
  • PDF Download: 163

APA

Rajakumar, M. P., Reddy, D. V. L., Nalinipriya, D., Thanigaivel, D., & Arun, M. R. (2021). Detecting Bio-Metric Finger Patterns Using Lsb Substitution Machine Learning Method. European Journal of Molecular & Clinical Medicine, 7(7), 4880-4887.

MLA

M P Rajakumar; Dr. V. Lokeswara Reddy; Dr.G. Nalinipriya; Dr.S. Thanigaivel; M R Arun. "Detecting Bio-Metric Finger Patterns Using Lsb Substitution Machine Learning Method". European Journal of Molecular & Clinical Medicine, 7, 7, 2021, 4880-4887.

HARVARD

Rajakumar, M. P., Reddy, D. V. L., Nalinipriya, D., Thanigaivel, D., Arun, M. R. (2021). 'Detecting Bio-Metric Finger Patterns Using Lsb Substitution Machine Learning Method', European Journal of Molecular & Clinical Medicine, 7(7), pp. 4880-4887.

VANCOUVER

Rajakumar, M. P., Reddy, D. V. L., Nalinipriya, D., Thanigaivel, D., Arun, M. R. Detecting Bio-Metric Finger Patterns Using Lsb Substitution Machine Learning Method. European Journal of Molecular & Clinical Medicine, 2021; 7(7): 4880-4887.

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