Survey of the Frequency of Fingerprint Classification Formulas in the Database of the Tavares Buril Identification Institute of Pernambuco


Abstract

Biometric databases are continuously updated through the activities of Identification Institutes. In the State of Pernambuco, the Tavares Buril Identification Institute has been carrying out these activities since 1909 through civil and criminal identification records maintained in a physical archive. With the implementation of the ABIS system, the IITB archives will be migrated to a digital platform. Along with this transition, the filing methodology will also change, moving from the primary classification system to minutiae-based analysis performed by ABIS algorithms. To date, no comprehensive survey of this archive has been conducted. Therefore, this moment presents an opportunity to preserve important information that could otherwise be lost within the physical archive and to provide a basis for comparison with data generated by the new biometric technological platform. This prospective study cataloged the frequencies of fundamental fingerprint types, the variability of fingerprint classification formulas, and their distribution according to sex within the studied population of Pernambuco.


Keywords

Identificação Humana
Papiloscopia Forense
Banco de Dados Biométricos
Frequência em Impressões Digitais
Human Identification
Forensic Fingerprint Analysis
Biometric Databases
Fingerprint Frequency
Identificación Humana
Papiloscopía Forense
Bases de Datos Biométricas
Frecuencia de Huellas Dactilares

References

  1. F. Galton. Finger prints, Macmillan and co., London and USA, 54-63, 1892.
  2. S.L. Monteiro. Banco Nacional de perfis genéticos para fins criminais, as técnicas moleculares e os aspectos jurídicos: uma análise transdisciplinar. Rev. Bras. Crimin 8(1), 48-53, 2019.
  3. J.Ata-Ali, F. Ata-Ali. Forensic dentistry in human identification: a review of the literature. J. Clin. Exp. Dent. 6(2), e162-e167, 2014.
  4. Interpol Disaster Victim Identification Guide Retirado em 25/11/2019, de https://www.interpol.int/ How-we-work/Forensics/Disaster-Victim-Identification-DVI
  5. N.M. Gaglietti, R.H.A. Silva. Primary Identification Methods and their Effectiveness in Mass Disaster Situations: A Literature Review Arab Journal of Forensic Sciences & Forensic Medicine 1(5), 553-559, 2017.
  6. Decreto nº 4.764, de 5 de fevereiro de 1903. Retirado em 26/09/2019, de: https://www2.camara.leg. br/legin/fed/decret/1900-1909/decreto-4764-5-fevereiro-1903-506801-publicacaooriginal-1-pe.html.
  7. Decreto estadual nº 986, de 28 de junho de 1909. Retirado em 26/09/2019, de: https://www.iitb.pe.gov.br.
  8. Decreto 20.581/1998 Pernambuco.
  9. T.M.N. Cavalcanti, P.S.B. Nogueira. Influência de anomalias na coleta das impressões papilares e suas consequências para a identificação humana. Livro de Resumos Científicos I Jornada Papiloscópica Pernambucana, Recife/PE, 9, 2018. Retirado em 05/10/2019, de: http://asppape.org.br/publicacoes-das-jornadas-cientificas-papiloscópicas/.
  10. P.S.B. Nogueira, U.C.O. Magalhães, B.N.S. Pereira, E.C.O. Medeiros, A.T.S. Liberal. Estudo estatístico da incidência de fórmulas de codificação das impressões digitais oriundas das pessoas identificadas civilmente no estado de Pernambuco. Livro de Resumos Científicos II Jornada Papiloscópica Pernambucana, Afogados da Ingazeira/PE, 11-14, 2019. Retirado em 05/10/2019, de: http://asppape.org.br/publicacoes-das-jornadas-cientificas-papiloscópicas/.
  11. N. Rivalderia, E. Gutierrez-Redomero, C. Alonso-Rodriguez, J.E. Dipierri, L.M. Martin. Study of fingerprints in Argentina population for application in personal indentification. Science & Justice 57(3), 199-208, 2017.
  12. J.A. Velho, G.C. Geiser, A. Espindula, Ciências Forenses: uma introdução às principais áreas da criminalística moderna Editora millennium, Brasil, 83-103; 135-162; 241-269, 2017.
  13. M.E.C. Araújo, L.M. Bossois, J.L. Santana. Análise do arquivo datiloscópico criminal brasileiro: os tipos fundamentais e suas frequências. 2010, Retirado em 30/09/2019, de: http://appes.com.br/v2/
  14. IBGE Instituto Brasileiro de Geografia e estatística, 2021. Retirado em 02/02/2023, de: http://www.ibge. gov.br/cidades-e-estados/pe.html
  15. E. Gutiérrez-Redomero, N. Rivaldería, C. Alonso-Rodríguez, Á. Sánchez-Andrés. Assessment of the methodology for estimating ridge density in fingerprints and its forensic application. Science & Justice 54, 199-207, 2014.
  16. E. Gutierrez-Redomero, J.A. Quiros, N. Rivaldería,
  17. M.C. Alonso. Topological Variability of Fingerprint Ridge Density in a Sub-Saharan Population Sample for Application in Personal Identification. J Forensic Sci, 58(3), 592-600, 2013.
  18. E. Gutiérrez-Redomero, Á. Sánchez-Andrés, N. Rivaldería, C. Alonso-Rodríguez, J.E. Dipierri, L.M. Martín. A comparative study of topological and sex differences in fingerprint ridge density in Argentinian and Spanish population samples. Journal of Forensic and Legal Medicine, 20(5), 419-429, 2013.
  19. J. Dhall, A.K. Kapoor. Fingerprint Ridge Density as a Potential Forensic Anthropological Tool for Sex Identification. J Forensic Sci, 61(2), 424-429, 2016.
  20. X. Yang; J. Xiaojun; Z. Yixuan; L. Hui. Genetic rules for the dermatoglyphics of human fingertips and their role in spouse selection: a preliminary study. SpringerPlus 5, 01-06, 2016.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (c) 2021 Brazilian Journal of Criminalistics

Author(s)