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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21496
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
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| Paper Title: | AI-Driven Image Authentication: A Hybrid CNN-HOG Approach for Tamper Detection. |
| Authors Name: | Mr. Prince Joy , Dr. B. Jayanthi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_200134
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| Published Paper Id: | IJRTI2412064 |
| Published In: | Volume 9 Issue 12, December-2024 |
| DOI: | http://doi.one/10.1729/Journal.42821 |
| Abstract: | the authenticity of digital images has become increasingly important in an era where tampering techniques are advancing rapidly. This paper introduces a hybrid approach to image authentication that combines the power of artificial intelligence with traditional feature engineering. By integrating Convolutional Neural Networks (CNNs) with Histogram of Oriented Gradients (HOG), the proposed method leverages deep learning to extract high-level patterns and HOG to capture fine-grained texture and edge details. The fusion of these complementary features enables accurate detection of tampered images, including those with subtle manipulations. Extensive testing on standard datasets demonstrates that this hybrid model outperforms standalone methods in terms of accuracy and robustness. This research provides a practical and scalable solution for enhancing the reliability of image authentication systems across various applications, from digital forensics to media verification. |
| Keywords: | Image Authentication, Tamper Detection, Convolutional Neural Networks, Histogram of Oriented Gradients. |
| Cite Article: | "AI-Driven Image Authentication: A Hybrid CNN-HOG Approach for Tamper Detection.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a595-a599, December-2024, Available :http://www.ijrti.org/papers/IJRTI2412064.pdf |
| Downloads: | 000675 |
| ISSN: |
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 |
| Publication Details: |
Published Paper ID: IJRTI2412064
Registration ID:200134
Published In: Volume 9 Issue 12, December-2024
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.42821
Page No: a595-a599 Country: Wayanad, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2412064 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2412064 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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