Parmak İzi Araştırmalarının Geleceği

Awasthi KK, Sankhla MS, Yadav CS, et al. Nanoparticles in fingerprinting. 1st ed. NY:Apple Academic Press;2025. https://doi.org/10.1201/9781998511938

Daluz, HM. Fingerprint analysis laboratory workbook. 2nd ed. Boca Raton:CRC Press; 2018.

Kaye DH, Busey T, Gische M, et al. Latent print examination and human factors: Improving the practice through a systems approach. The report of the expert working group on human factors in latent print analysis. U.S. Department of Justice’s National Institute of Justice.2012. https://doi.org/10.6028/NIST.IR.7842

President’s Council of Advisors on Science and Technology. Forensic science in criminal courts: Ensuring scientific validity of feature-comparison methods. 2016. Available from: https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/PCAST/pcast_forensic_science_report_final.pdf. Accessed 25th February 2026.

Bleay SM, Bailey MJ, Croxton RS. The forensic exploitation of fingermark chemistry: A review. WIREs Forensic Science, 2021;3(4). https://doi.org/10.1002/wfs2.1403

Hinners P, O’Neill KC, Lee YJ. Revealing individual lifestyles through mass spectrometry imaging of chemical compounds in fingerprints. Scientific Reports, 2018:8(1),5149. https://doi.org/10.1038/s41598-018-23544-7

Bhanu B, Tan X. Computational algorithms for fingerprint recognition. 1st ed. 2004. Boston:Springer US. https://doi.org/10.1007/978-1-4615-0491-7

Scientific Working Group on Friction Ridge Analysis Study and Technology. Standard for the Documentation of Analysis, Comparison, Evaluation, and Verification (ACE-V) in Tenprint Operations (Tenprint). 2016. Available from: https://www.nist.gov/system/files/documents/2016/10/26/swgfast_standard-documentation-ace-v-tenprint_2.0_121124.pdf. Accessed 02th March 2026.

Ulery BT, Hicklin RA, Roberts MA, Measuring what latent fingerprint examiners consider sufficient information for individualization determinations. PLoS ONE, 2014;9(11), e110179. https://doi.org/10.1371/journal.pone.0110179

Prasad V, Lukose S, Agarwal P. Role of nanomaterials for forensic investigation and latent fingerprinting—A review. Journal of Forensic Sciences, 2020;65(1),26–36. https://doi.org/10.1111/1556-4029.14172

National Research Council. Strengthening forensic science in the United States. National Academies Press. 2009. https://doi.org/10.17226/12589

ANSI/ASB Standard 015-24. Standard for examining friction ridge impressions. AAFS Standards Board. 2024.

ANSI/ASB Standard 014-24. Standard for friction ridge examination training program. AAFS Standards Board. 2024.

ANSI/ASB Standard 143-24. Standard for technical review in friction ridge examination. AAFS Standards Board. 2024.

ISO 21043-4. Forensic sciences — Part 4: Interpretation. International Organization for Standardization. 2025.

Hicklin RA, Richetelli N, Taylor A, Accuracy and reproducibility of latent print decisions on comparisons from searches of an automated fingerprint identification system. Forensic Science International, 2025:370, 112457.

Jickells SM. Fingerprinting: Into the future. Measurement and Control, 2008:41(8), 243–247. https://doi.org/10.1177/002029400804100802

West MJ, Went MJ. The spectroscopic detection of exogenous material in fingerprints after development with powders and recovery with adhesive lifters. Forensic Science International, 2008:174(1), 1–5. https://doi.org/10.1016/j.forsciint.2007.02.026

West MJ, Went MJ. The spectroscopic detection of drugs of abuse in fingerprints after development with powders and recovery with adhesive lifters. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2009;71(5),1984–1988. https://doi.org/10.1016/j.saa.2008.07.024

Michalski S, Shaler R, Dorman FL. The evaluation of fatty acid ratios in latent fingermarks by gas chromatography/mass spectrometry (GC/MS) analysis. Journal of Forensic Sciences, 2013;58(s1). https://doi.org/10.1111/1556-4029.12010

Girod A, Ramotowski R, Lambrechts S, et al. Fingermark age determinations: Legal considerations, review of the literature and practical propositions. Forensic Science International, 2016;262, 212–226. https://doi.org/10.1016/j.forsciint.2016.03.021

Weyermann C, Roux C, Champod C. Initial results on the composition of fingerprints and its evolution as a function of time by GC/MS analysis. Journal of Forensic Sciences, 2011;56(1), 102–108. https://doi.org/10.1111/j.1556-4029.2010.01523.x

Ulery BT, Hicklin RA, Buscaglia J. Accuracy and reliability of forensic latent fingerprint decisions. Proceedings of the National Academy of Sciences, 2011;108(19), 7733–7738. https://doi.org/10.1073/pnas.1018707108

Awasthi KK, Sankhla MS, Yadav CS, et al. Nanoparticles in fingerprinting. 1st ed. NY:Apple Academic Press;2025. https://doi.org/10.1201/9781998511938

Daluz, HM. Fingerprint analysis laboratory workbook. 2nd ed. Boca Raton:CRC Press; 2018.

Kaye DH, Busey T, Gische M, et al. Latent print examination and human factors: Improving the practice through a systems approach. The report of the expert working group on human factors in latent print analysis. U.S. Department of Justice’s National Institute of Justice.2012. https://doi.org/10.6028/NIST.IR.7842

President’s Council of Advisors on Science and Technology. Forensic science in criminal courts: Ensuring scientific validity of feature-comparison methods. 2016. Available from: https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/PCAST/pcast_forensic_science_report_final.pdf. Accessed 25th February 2026.

Bleay SM, Bailey MJ, Croxton RS. The forensic exploitation of fingermark chemistry: A review. WIREs Forensic Science, 2021;3(4). https://doi.org/10.1002/wfs2.1403

Hinners P, O’Neill KC, Lee YJ. Revealing individual lifestyles through mass spectrometry imaging of chemical compounds in fingerprints. Scientific Reports, 2018:8(1),5149. https://doi.org/10.1038/s41598-018-23544-7

Bhanu B, Tan X. Computational algorithms for fingerprint recognition. 1st ed. 2004. Boston:Springer US. https://doi.org/10.1007/978-1-4615-0491-7

Scientific Working Group on Friction Ridge Analysis Study and Technology. Standard for the Documentation of Analysis, Comparison, Evaluation, and Verification (ACE-V) in Tenprint Operations (Tenprint). 2016. Available from: https://www.nist.gov/system/files/documents/2016/10/26/swgfast_standard-documentation-ace-v-tenprint_2.0_121124.pdf. Accessed 02th March 2026.

Ulery BT, Hicklin RA, Roberts MA, Measuring what latent fingerprint examiners consider sufficient information for individualization determinations. PLoS ONE, 2014;9(11), e110179. https://doi.org/10.1371/journal.pone.0110179

Prasad V, Lukose S, Agarwal P. Role of nanomaterials for forensic investigation and latent fingerprinting—A review. Journal of Forensic Sciences, 2020;65(1),26–36. https://doi.org/10.1111/1556-4029.14172

National Research Council. Strengthening forensic science in the United States. National Academies Press. 2009. https://doi.org/10.17226/12589

ANSI/ASB Standard 015-24. Standard for examining friction ridge impressions. AAFS Standards Board. 2024.

ANSI/ASB Standard 014-24. Standard for friction ridge examination training program. AAFS Standards Board. 2024.

ANSI/ASB Standard 143-24. Standard for technical review in friction ridge examination. AAFS Standards Board. 2024.

ISO 21043-4. Forensic sciences — Part 4: Interpretation. International Organization for Standardization. 2025.

Hicklin RA, Richetelli N, Taylor A, Accuracy and reproducibility of latent print decisions on comparisons from searches of an automated fingerprint identification system. Forensic Science International, 2025:370, 112457.

Jickells SM. Fingerprinting: Into the future. Measurement and Control, 2008:41(8), 243–247. https://doi.org/10.1177/002029400804100802

West MJ, Went MJ. The spectroscopic detection of exogenous material in fingerprints after development with powders and recovery with adhesive lifters. Forensic Science International, 2008:174(1), 1–5. https://doi.org/10.1016/j.forsciint.2007.02.026

West MJ, Went MJ. The spectroscopic detection of drugs of abuse in fingerprints after development with powders and recovery with adhesive lifters. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2009;71(5),1984–1988. https://doi.org/10.1016/j.saa.2008.07.024

Michalski S, Shaler R, Dorman FL. The evaluation of fatty acid ratios in latent fingermarks by gas chromatography/mass spectrometry (GC/MS) analysis. Journal of Forensic Sciences, 2013;58(s1). https://doi.org/10.1111/1556-4029.12010

Girod A, Ramotowski R, Lambrechts S, et al. Fingermark age determinations: Legal considerations, review of the literature and practical propositions. Forensic Science International, 2016;262, 212–226. https://doi.org/10.1016/j.forsciint.2016.03.021

Weyermann C, Roux C, Champod C. Initial results on the composition of fingerprints and its evolution as a function of time by GC/MS analysis. Journal of Forensic Sciences, 2011;56(1), 102–108. https://doi.org/10.1111/j.1556-4029.2010.01523.x

Ulery BT, Hicklin RA, Buscaglia J. Accuracy and reliability of forensic latent fingerprint decisions. Proceedings of the National Academy of Sciences, 2011;108(19), 7733–7738. https://doi.org/10.1073/pnas.1018707108