Automated Fingerprint Identification System: Basis for Modernization of the Identification and Records Division (IRD)

The significance of fostering peace and order for sustainable development is crucial, creating an environment conducive to growth. Research in law enforcement highlights the technology gap faced by developing nations dealing with terrorism, criminal activities, and transparency challenges. While Automated Fingerprint Identification Systems (AFIS) are globally recognized for their transformative impact on criminal identification, their implementation at the National Bureau of Investigation (NBI) in the Philippines lags behind the Philippine National Police's (PNP) adoption. This study focuses on automating the NBI's fingerprint identification system to modernize the Identification and Records Division (IRD) through an explanatory sequential mixed method design, combining quantitative and qualitative analyses with a focus on IRD employees. The assessment reveals the potential of AFIS in enhancing the NBI's identification processes, database system management, and information accuracy, with overall mean scores of 4.57 for the computerized identification process, 4.56 for the computerized database system, and 4.56 for the accuracy and reliability of information, all indicating strong agreement. While AFIS offers benefits such as error reduction and improved crime-solving capabilities, challenges like image quality dependency and high implementation costs require attention. The proposed action plan, with an overall mean score of 4.66 (highly recommended), emphasizes budget allocation, IRD personnel training, and high-quality fingerprint scanning techniques to facilitate successful AFIS integration. In conclusion, the study underscores the potential benefits of AFIS in modernizing the NBI's identification processes, addressing challenges, and enhancing efficiency in law enforcement operations. The proposed action plan, supported by high mean scores, provides a structured framework for successfully implementing AFIS. Recommendations for continuous training, strategic planning, and methodical execution aim to propel the modernization of the NBI's identification and records division, ultimately improving criminal investigation and clearance issuance capabilities.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-29
DOI
https://doi.org/10.5281/zenodo.13462874
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
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article

Automated Fingerprint Identification System: Basis for Modernization of the Identification and Records Division (IRD)

Zenodo (CERN European Organization for Nuclear Research)
Biometric Identification and Security
article

Automated Fingerprint Identification System: Basis for Modernization of the Identification and Records Division (IRD)

article en

Abstract

The significance of fostering peace and order for sustainable development is crucial, creating an environment conducive to growth. Research in law enforcement highlights the technology gap faced by developing nations dealing with terrorism, criminal activities, and transparency challenges. While Automated Fingerprint Identification Systems (AFIS) are globally recognized for their transformative impact on criminal identification, their implementation at the National Bureau of Investigation (NBI) in the Philippines lags behind the Philippine National Police's (PNP) adoption. This study focuses on automating the NBI's fingerprint identification system to modernize the Identification and Records Division (IRD) through an explanatory sequential mixed method design, combining quantitative and qualitative analyses with a focus on IRD employees. The assessment reveals the potential of AFIS in enhancing the NBI's identification processes, database system management, and information accuracy, with overall mean scores of 4.57 for the computerized identification process, 4.56 for the computerized database system, and 4.56 for the accuracy and reliability of information, all indicating strong agreement. While AFIS offers benefits such as error reduction and improved crime-solving capabilities, challenges like image quality dependency and high implementation costs require attention. The proposed action plan, with an overall mean score of 4.66 (highly recommended), emphasizes budget allocation, IRD personnel training, and high-quality fingerprint scanning techniques to facilitate successful AFIS integration. In conclusion, the study underscores the potential benefits of AFIS in modernizing the NBI's identification processes, addressing challenges, and enhancing efficiency in law enforcement operations. The proposed action plan, supported by high mean scores, provides a structured framework for successfully implementing AFIS. Recommendations for continuous training, strategic planning, and methodical execution aim to propel the modernization of the NBI's identification and records division, ultimately improving criminal investigation and clearance issuance capabilities.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 59%
Biometric Identification and Security
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