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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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) |
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| Paper Title: | Face Counterfeit Detection In National ID Cards Using Image Steganography |
| Authors Name: | C.SURYA , P.NIVASHINI , K.ABOORVA , S.LOGESHWARI , A.PUGAZHVANI |
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IJNRD_218571
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| Published Paper Id: | IJNRD2404577 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Counterfeit national ID cards can pose a serious threat to national security and public safety, as they can be used for identity theft, fraud, and other criminal activities. Therefore, it is crucial to have reliable mechanisms to detect counterfeit ID cards. One approach to improving the security of national ID cards is to use steganography, a technique that involves hiding additional data within an image without significantly altering its appearance. Steganography is the practice of concealing a message or information within another object, such as an image, without changing its appearance significantly. In the context of national ID cards, steganography can be used to embed additional data or features in the card's images that can help in detecting counterfeit cards. Select the features that will be embedded in the ID card image. In this system, user’s id number taken for embedding into the ID card. User’s Id number can be converted into a binary data and then that can be embedded in the ID card. The features can be embedded using a steganography algorithm called LSB. LSB algorithm modifies the Least Significant Bits of the ID card image pixels to embed the additional features. To verify the embedded features, data extraction approach can be used that reads the embedded data from the ID card image and verifies its authenticity. By using steganography to embed additional features in national ID card images, it becomes much more difficult to create counterfeit cards. The embedded features can be verified by proposed system, making it easier to detect fake cards. |
| Keywords: | Counterfeit National ID Cards, Reliable Mechanisms, Steganography. |
| Cite Article: | "Face Counterfeit Detection In National ID Cards Using Image Steganography", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f624-f628, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404577.pdf |
| Downloads: | 00070 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404577 Registration ID: 218571 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: f624-f628 Country: perambalur, Tamilnadu, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404577 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404577 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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