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Aadhar-Based Biometric Identification System for tracking Missing Persons

Karuna Middha Maahir Sharma Daksh Dudeja Amrita Pandey

Subject area: Science,Engineering and Technology  ·  Area of research: Technology

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

References

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[2] Anil K. Jain and Arun Ross, "Introduction to Biometrics" in Handbook of Biometrics, Springer, pp. 1-22, 2008, ISBN 978-0-387-71040-2. Show Context CrossRef Google Scholar

[3] Sahidullah and Md, Enhancement of Speaker Recognition Performance Using Block Level Relative and Temporal Information of Subband Energies, 2015. Show Context Google Scholar 4. "Biometrics for Secure Authentication", (PDF)Retrieved. Show Context Google Scholar

[4] Report on Missing Women & Children in India - National Crime Records Bureau

[5] S. Prabhakar, S. Pankanti, A. K. Jain ”Biometric recognition: security and privacy concerns” IEEE Security and Privacy, pp. 33-42, March/April 2003

[6] L. O’Gorman “Comparing passwords, tokens, and biometrics for user authentication”. Proceedings of the IEEE, Vol. 91, No. 12, pp.2021-2040, December 2003.

[7] M. Faundez-Zanuy “Biometric recognition: why not massively adopted yet?”. IEEE Aerospace and Electronic Systems Magazine. Vol.20 nº 8, pp.25-28, ISSN: 0885-8985. August 2005.

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[9] "Biometrics for Secure Authentication", (PDF) Retrieved

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[12] M. Faundez-Zanuy “Are Inkless fingerprint sensors suitable for mobile use? IEEE Aerospace and Electronic Systems Magazine, pp.17-21, April 2004

How to cite this paper

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
Karuna Middha, Maahir Sharma, Daksh Dudeja, Amrita Pandey "Aadhar-Based Biometric Identification System for tracking Missing Persons" Iconic Research And Engineering Journals, vol. 6, no. 7, Jan. 2023
Karuna Middha, Maahir Sharma, Daksh Dudeja, Amrita Pandey (2023). Aadhar-Based Biometric Identification System for tracking Missing Persons. Iconic Research And Engineering Journals, 6(7).
Karuna Middha, Maahir Sharma, Daksh Dudeja, Amrita Pandey "Aadhar-Based Biometric Identification System for tracking Missing Persons" Iconic Research And Engineering Journals, vol. 6, no. 7, Jan. 2023.
@article{1704042,
      author = {Karuna Middha, Maahir Sharma, Daksh Dudeja, Amrita Pandey},
      title = {Aadhar-Based Biometric Identification System for tracking Missing Persons},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {7},
      pages = {411-416},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1704042.pdf},
      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},
      month = {January},
  }