HomeInternational Journal of Multidisciplinary: Applied Business and Education Researchvol. 6 no. 6 (2025)

Assessment of the Fingerprint Identification System and Digitization Project of The National Bureau of Investigation (NBI) Towards Automated Fingerprint Identification System (AFIS) Implementation

Arianne Joy Portugal | Wilfredo D. Dalugdog | Govinda Dasi Arayata | Joyce Garcia

Discipline: Education

 

Abstract:

This study aims to assess the National Bureau of Investigation’s (NBI) fingerprint identification system and provide recommendations for enhancing the ongoing fingerprint card digitization project, which is crucial for establishing an Automated Fingerprint Identification System (AFIS). The findings indicate that, while the current digitization project aligns with AFIS development, there are opportunities for improvement. One key area is the simultaneous digitization of fingerprint specimens from various government agencies to enhance efficiency. Furthermore, data analysis revealed variations in respondents’ evaluations based on years of service and job positions. Specifically, those using the manual fingerprint identification system expressed different perspectives compared to those handling digital fingerprint records, likely due to differences in procedural familiarity and operational adaptation. Most respondents acknowledged the benefits of digitization, highlighting its potential to support law enforcement in criminal prosecution and to contribute to crime reduction, the criminal justice system, and other government initiatives. Based on these findings, the study recommends that the NBI collaborate with other law enforcement agencies to ensure connectivity and minimize redundancy in fingerprint digitization. Additionally, the NBI should conduct local workshops and international seminars on AFIS to continuously improve personnel skills and system capabilities. The study recommends enhanced inter-agency collaboration, regular training programs, and the systematic integration of digitized fingerprint records to ensure the successful implementation of AFIS.



References:

  1. Alam, M. N. (2016). Scanners For Digitization: An Overview. Available at https://www.klibjlis.com/3.1.7.pdf
  2. Alobidyeen, B., Al-Edainat, S., Al-Shabatat, S., and Al-Shabatat, S. (2022), Digitalization and its Impact on Employee’s Perfor-mance: A Case Study on Greater Tafila Municipality, International Journal of Business and Administrative Studies 8(1). Available at https://kkgpublications.com/wp-content/uploads/2022/04/ijbas.8.10004-1.pdf
  3. Azim, N. A. M., Yatin, S. F. M., Jensonray, R. C. A., & Ayub@Mansor, S. (2018). Digiti-zation of Records and Archives: Issues and Concerns. International Journal of Academic Research in Business and Social Sciences, 8(9), 170–178. Availa-ble at http://dx.doi.org/10.6007/IJARBSS/v8-i9/4582
  4. Barnes, J.G., (2012). History of the fingerprint. Available at https://www.ncjrs.gov/pdffiles1/nij/225321.pdf
  5. Barua, K., Bhattacharya, S. and Mali, K. (2011). Fingerprint Identification. Global Journal of Computer Science & Technology. Vol-ume 11 Issue Version 1.0 April 2011. https://computerresearch.org/index.php/computer/article/view/782
  6. Defante, Renlord (2014). AFIS Automated Fin-gerprint Identification System (AFIS) Available at https://www.academia.edu/28862320/AFIS_AUTOMATED_FINGERPRINT_IDENTIFICATION_SYSTEM_AFIS
  7. Elnaga, A. and Imran, A (2013), The Effect of Training on Employee Performance Available at https://core.ac.uk/download/pdf/234624593.pdf
  8. Jain, A, K. (2016). Bridging the gap: from bio-metrics to forensics Phil. Trans. R. Soc. B3702014025420140254 Available at http://doi.org/10.1098/rstb.2014.0254
  9. Jain, A. K., Nandakumar, K. and Ross, A. (2015). 50 years of biometric research: Accom-plishments, challenges, and opportuni-ties. Pattern Recognition Letters, 2015. Volume 79,2016, Pages 80-105, Availa-ble at https://doi.org/10.1016/j.patrec.2015.12.013.
  10. Kadic, A.J., V. K., Dosenovic S., Sapunar D. and Puljak L. (2016). Extracting data from figures with software was faster, with higher interrater reliability than manual extraction, Journal of Clinical Epidemiol-ogy. Volume 74, 2016, Pages 119-123, Available at https://doi.org/10.1016/j.jclinepi.2016.01.002.
  11. Kaushal, N., & Kaushal, P. (2011). Human iden-tification and fingerprints: a review. J bi-omet biostat, 2(123), 2. Available at https://www.hilarispublisher.com/open-access/human-identification-and-fingerprints-a-review-2155-6180.1000123.pdf
  12. Komarinski, P. (2005). Automated Fingerprint Identification Systems (AFIS). Available at https://shop.elsevier.com/books/automated-fingerprint-identification-systems-afis/komarinski/978-0-12-418351-3
  13. Mokwele, M. E. (2016). The Value of the Auto-mated Fingerprint Identification System AS A TECHNIQUE IN THE IDENTIFICA-TION OF SUSPECTS. Retrieved from https://core.ac.uk/download/pdf/43178428.pdf
  14. Moses, K. R., Higgings, R., McCabe, M., Prab-hakar, S., and Swann, S. (2017), Automated fingerprint identification sys-tem (AFIS). The fingerprint sourcebook 1. https://www.ojp.gov/pdffiles1/nij/225326.pdf
  15. Nakanishi, A. Y. J. and Western, B. J. (2007). Advancing the State-of-the-Art in Trans-portation Security Identification and Ver-ification Technologies: Biometric and Multibiometric Systems 2 IEEE Intelligent Transportation Systems Conference, Bellevue, WA, USA, 2007, pp. 1004-1009. Available at https://ieeexplore.ieee.org/document/
  16. Pandey, R. and Kumar, V. (2020). Exploring the Impediments to Digitization and Digital Preservation of Cultural Heritage Re-sources: A Selective Review. https://www.degruyterbrill.com/document/doi/10.1515/pdtc-2020-0006/html
  17. Preservation, Digital Technology & Culture, vol. 49, no. 1, 2020, pp. 26-37. Available at https://doi.org/10.1515/pdtc-2020-0006
  18. Rao, P., Singh, S., Dey, A., Rawtani, D. and Parikh, G. (2023). Automated Fingerprint Identification System. Available at https://doi.org/10.1002/9781119763406.ch6
  19. Salkute, S. R., (2019). Effective Management in District Court Record Scanning & Digiti-zation. International Journal of Infor-mation, Business and Management, Vol.11, No.4, 2019. https://www.proquest.com/docview/1903811739?forcedol=true&pq-origsite=summon&sourcetype=Scholarly%20Journals
  20. Sharma, D., Selwal, A. (2021). FinPAD: State-of-the-art of fingerprint presentation attack detection mechanisms, taxonomy and fu-ture perspectives, Pattern Recog-nition Letters, Volume 152,2021, Pages 225-252, Retrieved from https://doi.org/10.1016/j.patrec.2021.10.013.
  21. Sharma, K., Shingatgeri, V. and Pal, S. (2021). Role of Data Digitization on Data Integrity. Quality Assurance Imple-mentation in Research Labs pp 221–245 23. Available at https://link.springer.com/chapter/10.1007/978-981-16-3074-3_13
  22. Smith, M., Mann, M., & Urbas, G. (2018). Bio-metrics, crime and security. Routledge. Available at https://www.taylorfrancis.com/books/mono/10.4324/9781315182056/biometrics-crime-security-marcus-smith-gregor-urbas-monique-mann
  23. Titu, A.M., Moisescu, R. and Oprean, C. (2021). Quality and Digitalization of the Data Backup Process Management in Or-ganizations having as Object of Activity the Protection of Intellectual Prop-erty Available at https://atna-mam.utcluj.ro/index.php/Acta/article/view/1712
  24. Verton, D. (2014). FBI nears completion on massive digitization effort. FedScoop. Re-trieved from https://www.fedscoop.com/
  25. Zhang, A. and Gourley, D. (214). Creating digi-tal collections: a practical guide. Elsevier. Available at https://www.sciencedirect.com/science/article/pii/B9781843343967500067