Aadhar-Based Biometric Identification System for tracking Missing Persons

• Author(s): Karuna Middha ; Maahir Sharma ; Daksh Dudeja ; Amrita Pandey
• Paper ID: 1704042
• Page: 411-416
• Published Date: 31-01-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 7 January-2023

Abstract

This application is associated with the Aadhaar biometric information system developed to integrate information in order to combat human trafficking, especially child trafficking. It works through a dedicated portal with restricted access to authorized authorities only, all state and district-level police authorities may share the Aadhar-enabled data on missing persons. (such as their photo, age, and fingerprints). The approved authorities may use this information to look for missing people in areas under their control. An integrated and validated information system would assist local police departments in locating missing people. This study shows that machine learning has a high potential to curb this problem due to ML’s ability to mine, search and analyze big sets of data, performing matching tasks more quickly and reliably than the conventional methods.

Keywords

DAM, Aadhar Based Biometrics Identification, Biometrics, Database, Machine Learning, KNN Algorithm

Citations

IRE Journals:
Karuna Middha , Maahir Sharma , Daksh Dudeja , Amrita Pandey "Aadhar-Based Biometric Identification System for tracking Missing Persons" Iconic Research And Engineering Journals Volume 6 Issue 7 2023 Page 411-416

IEEE:
Karuna Middha , Maahir Sharma , Daksh Dudeja , Amrita Pandey "Aadhar-Based Biometric Identification System for tracking Missing Persons" Iconic Research And Engineering Journals, 6(7)