Paper Title

Face Counterfeit Detection In National ID Cards Using Image Steganography

Article Identifiers

Registration ID: IJNRD_218571

Published ID: IJNRD2404577

DOI: Click Here to Get

Authors

C.SURYA , P.NIVASHINI , K.ABOORVA , S.LOGESHWARI , A.PUGAZHVANI

Keywords

Counterfeit National ID Cards, Reliable Mechanisms, Steganography.

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.

How To Cite (APA)

C.SURYA, P.NIVASHINI, K.ABOORVA, S.LOGESHWARI, & A.PUGAZHVANI (April-2024). Face Counterfeit Detection In National ID Cards Using Image Steganography. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), f624-f628. https://ijnrd.org/papers/IJNRD2404577.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : f624-f628

Other Publication Details

Paper Reg. ID: IJNRD_218571

Published Paper Id: IJNRD2404577

Downloads: 000121986

Research Area: Computer Science & Technology 

Country: perambalur, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404577.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404577

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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Frequency: Monthly (12 issue Annually).

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