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Automated Fingerprint Identfication System Using Biometrics

  • Unique Paper ID: 166723
  • Volume: 11
  • Issue: 2
  • PageNo: 1873-1881
  • Abstract:
  • The proposed study focuses on the development of an Automated Fingerprint Identification System (AFIS) for the Municipal Disaster Risk Reduction and Management Office (MDRRMO) in Occidental Mindoro. The device uses fingerprint scanning technology to tackle the problem of identifying people after disasters and accidents. AFIS provides a trustworthy and effective way of identification in disaster situations where conventional identifying techniques are degraded. Residents can register and submit necessary information, including fingerprints, through their own barangays using the study's user-friendly portal. The victim's name, age, current residence, and emergency contacts can all be quickly identified thanks to this extensive database. The AFIS implementation aids MDRRMO workers by speeding up everyday tasks, but it also gives victims' families quick updates, so they are aware as soon as support is given. The suggested solution demonstrates the potential of AFIS in disaster management while addressing the drawbacks of current identifying techniques. The technology's capacity to process a high volume of fingerprints makes it easier to identify victims right away quickly and reliably, facilitating prompt medical assistance and family reunion. To guarantee proper deployment, however, concerns for the fingerprint image quality, infrastructure needs, and adherence to privacy laws must be made. Overall, this study makes use of AFIS to improve the Municipal Disaster Risk Reduction and Management Council's (MDRRMC) ability to respond to disasters and manage them effectively in Occidental Mindoro. The approach could have an influence that goes beyond the immediate area by serving as a model for other communities and organizations looking to enhance their identification procedures in the event of disasters and accidents.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 2
  • PageNo: 1873-1881

Automated Fingerprint Identfication System Using Biometrics

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