 |
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
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)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Fake Aadhar Card Detection Using Machine Learning |
| Authors Name: | Sandeep Chaware , Shreni Pandit , Manasi Kshirsagar , Sakshi Devane , Leena Khairnar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204945
|
| Published Paper Id: | IJRTI2511120 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | The idea behind Aadhaar was the requirement that each person have a distinct identity. The Indian government established the UIDAI distribution authority to carry out this and create user identities for each person using their biometric and demographic information. In the current situation, people are manipulating documents, abusing people's identification documents and photos in illegal ways, and several web portals demand time-consuming repetitive Aadhaar card submissions for different objectives. Therefore, the system assists in identifying such modified photos and documents and helps to decrease the number of papers that are submitted repeatedly in order to prevent such illegal use. The issue with the current approach is that it uses metadata from the specific document that has been altered by specific manipulation techniques, including splicing and coloring, utilizing basic editing tools like Photo pea, Paint.NET, etc., to identify manipulated documents and photos. |
| Keywords: | Biometric information, Demographic information, Identity verification, Convolutional Neural Networks (CNNs), Image processing. |
| Cite Article: | "Fake Aadhar Card Detection Using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b160-b164, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511120.pdf |
| Downloads: | 000232 |
| 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: IJRTI2511120
Registration ID:204945
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: b160-b164 Country: pune, maharashtra , India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511120 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511120 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||