Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Biometric authentication is increasingly relied upon for secure identity verification, yet safeguarding raw biometric traits such as fingerprints and iris patterns remains a major challenge since they cannot be replaced once exposed. To address this concern, we propose a multi modal watermarking framework that combines iris and fingerprint features with Rubik Cube based encryption and deep learning verification. In our approach, the fingerprint image is transformed into an encrypted watermark and embedded within iris features using a zero bit watermarking technique, ensuring that the original biometric image remains unchanged. A Convolutional Neural Network (CNN) is then employed to differentiate genuine inputs from manipulated ones, enabling reliable real time authentication. Experimental evaluation confirms that the method preserves image quality while resisting distortions such as compression, blurring, and noise. The results highlight the system’s ability to deliver secure, imperceptible, and robust biometric verification, making it suitable for sensitive applications including e governance, banking, and healthcare.
"A Zero-Bit Watermarking Technique for Biometric Authentication Using Iris and Fingerprint Images", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a508-a515, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512063.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator