Image Security and Authentication Using Probabilistic Principal Component Analysis
Wavelet, Watermark, Gray scale and PCA.
Digital watermarking play an important role in information security. It majorly focusses on the authentication of the information. The authentication provides the genuinity of the owner of the information. The present paper focuses on the development of a novel Probabilistic Principal Component Analysis based Transform domain wtaremerking method (PPCATDW). The proposed PPCATDW method uses wavelet transformation domain for watermarking process. It interanlly uses pricnipal component analysis based ifnormation for the identification of the influential representation points of the input image. The proposed method is experimented with the fourteen images and the results show the efficacy of the proposed method.
"Image Security and Authentication Using Probabilistic Principal Component Analysis", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 9, page no.a737-a740, September-2025, Available :https://ijsdr.org/papers/IJSDR2509089.pdf
Volume 10
Issue 9,
September-2025
Pages : a737-a740
Paper Reg. ID: IJSDR_304936
Published Paper Id: IJSDR2509089
Downloads: 00067
Research Area: Science and Technology
Country: Ponnur, Guntur District, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
