Recent Studies?

[HIM]

Can anyone point me to resource that has a compilation of recent studies related to latent print examination? I was given an early version of the Holy Grail on CD but was looking for something a little more recent; specifically on examiner error rates, ACE-V reliability, permanence/uniqueness... Pretty much the usual challenges. Thanks!

[Boyd Baumgartner]

I find academic search engines the most useful. You'll need a way to actually download the paper, however googling the paper title + pdf usually works in finding a source provided it's not too new. If not, find a college student, they have access to just about every paywall there is.

Here are a couple:

PLoSONE

Google Scholar

Science Direct

[g.]

Here is a list that was recently presented to the National Forensic Science Commission. They are all post 2009 NAS report.

I would include others pre-2009 (Dror 2006a; Dror 2006b; Busey 2005; Gutowski 2006; Schiffer and Champod 2007, etc.).
There are also other "opinion" pieces. The list below represents "data driven experiments" with perhaps an exception or two.

g.


Minutiae variability

Swofford, et al. (2013) Inter- and Intra-Examiner Variation in the
Detection of Friction Ridge Skin Minutiae. JFI 63(5):553-570

Dror, et al. (2011) Cognitive issues in fingerprint analysis: Inter- and intra-expert consistency and
the effect of a ‘target’ comparison. FSI 208:10-17.

ACE-V

Langenburg (2012). A Critical Analysis and Study of the ACE-V Process. ESC-IPS. University of Lausanne, Switzerland. Ph.D. thesis.

Expert v. Non-expert, signal detection theory

Busey, et al. (2011) Consistency and Variability Among Latent Print Examiners as Revealed by Eye Tracking Methodologies, JFI 61(1):60-91.

Bias

Dror, et al. (2012) The Impact of Human–Technology Cooperation and Distributed Cognition in Forensic Science:
Biasing Effects of AFIS Contextual Information on Human Experts. JFS 57(2):343-352.

Charlton, et al. (2010) Emotional Experiences and Motivating Factors Associated with Fingerprint Analysis. JFS 55(2):385-393

DNA and bias
Dror and Hampikian (2011). Subjectivity and bias in forensic DNA mixture interpretation.
Science and Justice 51:204-208.

Statistics:
Taylor, et al. (2012). Application of Spatial Statistics to Latent Print
Identifications: Towards Improved Forensic Science Methodologies. NIJ Report, Grant 2009-DN-BX-K228.

Busey and Yu (2014). The Information Content of Friction Ridge Impressions as Revealed by Human Experts. NIJ Report, Grant 2009-DN-BX-K226

Egli (2009). Interpretation of Partial Fingermarks Using an Automated Fingerprint Identification System. ESC-IPS. University of Lausanne, Switzerland. Ph.D. thesis.

Abraham, et al. (2013). Spatial analysis of corresponding fingerprint features from match and close non-match populations. FSI 230:87-98.

Sutton, et al. (2013). Preliminary Analysis of the Nature and Processing of Palm Marks by a U.K. Fingerprint Bureau. JFS online:
doi: 10.1111/1556-4029.12218

Sheets, et al. (2014). Distortion in Fingerprints: A Statistical Investigation using Shape Measurement Tools. JFS 59(4):1113-1120.

Footwear:
Sheets, et al. Shape measurement tools in footwear analysis: A statistical investigation of accidental characteristics over time. FSI 232:84-91.

Reliability/Accuracy/Validity:
Thompson, M.B., Tangen, J.M., and McCarthy, D.J. (2014). Human Matching and Performance of Genuine Crime Scene Latent Fingerprints. Law & Human Behavior 38LHUMB84.

Neumann, C., Champod, C., Yoo, M., Genessay, T., and Langenburg, G. (2013). Improving the Understanding and Reliability of the concept of "sufficiency" in Friction Ridge Examination. NIJ Report (Award 2010-DN-BX-K267)

Ulery, B.T., Hicklin, R.A., Buscaglia, J., Roberts, M. March 2012. “Repeatability and Reproducibility of Decisions by Latent Fingerprint Examiners” http://www.plosone.org/article/info%3Ad ... ne.0032800

Swofford, H. (2012). Individualization Using Friction Skin Impressions: Scientifically Reliable, Legally Valid. Journal of Forensic Identification 62(1): 62-79.

Tangen, J.M., Thompson, M.B., and McCarthy, D.J. (2011). Identifying Fingerprint Expertise. Psychological Science 22 (8): 995-997.

Langenburg, G. (2009). A Performance Study of the ACE-V process; A Pilot study to measure the Accuracy, Precision, Reproducibility, Repeatability, and Bias-ability of Conclusions Resulting from the ACE-V process. Journal of Forensic Identification 59 (2):219-257

Error Rates:
Pacheco, I., Cerchiai, B., and Stoiloff, S. (2014). Miami Dade Research Study for the Reliability of the ACE-V Process: Accuracy & Precision in Latent Fingerprint Examinations. NIJ Report (2010-DN-BX-K268)

Kellman, P.J., Mnookin, J.L., Erlikhman, G., Garrigan, P., Ghose, T., Mettler, E., Charlton, D., and Dror, I.E. (2014). Forensic Comparison and Matching of fingerprints: Using Quantitative Image Measures for Estimating Error Rates through Understanding and Predicting Difficulty. PLoS ONE 9(5): e94617. doi: 10.1371/journal.pone. 0094617.

Thompson, M.B., Tangen, J.M., and McCarthy, D.J. (2013). Expertise in Fingerprint Identification. Journal of Forensic Science, doi: 10.1111/1556-4029. 12203.

Ulery, B.T., Hicklin, R.A., Buscaglia, J., Roberts, M. April 2011. A Study of the Accuracy and Reliability of Forensic Latent Fingerprint Examiners. Proceeding of the National Academies of Science.
http://www.pnas.org/content/early/2011/ ... 8.abstract.

Quantitative Analysis:
Ulery, B.T., R.A. Hicklin, M.A. Roberts, J. Buscaglia, “Changes in latent fingerprint examiners’ markup between analysis and comparison.” Forensic Science International 247(2014):54-61. Feb 2015.
http://dx.doi.org/10.1016/j.forsciint.2014.11.021. (Free preprint available at http://www.noblis.org/media/aebde0be-28 ... _Final_pdf)

Ulery, B.T., R.A. Hicklin, M.A. Roberts, J. Buscaglia, “Measuring what latent fingerprint examiners consider sufficient information for individualization determinations.” PLoS ONE 9(11): e110179. Nov 2014.

Kalka, N.D. and Hicklin, R.A. (2014) On relative distortion in fingerprint comparisons. Forensic Science International. Vol. 244:78-84

Ulery, B.T., Hicklin, R.A., Kiebuzinski, G., Roberts, M., Buscaglia, J. February 7, 2013. “Understanding the Sufficiency of Information for
Fingerprint Value Determinations”. Forensic Science International. Vol. 230 issue 1-3. P. 99-106.

Hicklin, R.A., Buscaglia, J., Roberts, M. March 10, 2013. "Assessing the Clarity of Friction Ridge Impressions". Forensic
Science International. Vol. 226 issue 1-3 P. 106-117 http://www.sciencedirect.com/science/ar ... 381200552X

Anthonioz, A., Egli, N., Champod, C., Neumann, C., Puch-Solis, R., and Bromage-Griffiths, A. (2011). Investigation of the third-level characteristics. Journal of Forensic Identification 61 (2): 171-192.

Statistics:
Neumann, C., Champod, C., Yoo, M., Genessay, T., and Langenburg, G. (2015). Quantifying the weight of fingerprint evidence through the spatial relationship, directions and types of minutiae observed on fingermarks. Forensic Science International 248 (2015) 154–171.

Langenburg, G.; Bochet, F.; and Ford, S. (2014). A Report of Statistics from Latent Print Casework. Forensic Science Policy & Management 5(1-2): 15-37.

Neumann, C. et al. (2011). Operational benefits and challenges of the use of fingerprint statistical models: A field study. Forensic Science International 212: 32-46.

Bias:
Busey, T., Silapiruti, A., and Vanderkolk, J. (2014). The relation between sensitivity, similar non-matches and database size in fingerprint database searches. Law Probability and Risk 13:151-168.

Langenburg, G., Champod, C., and Gennessay, T. (2012). Informing the judgements of fingerprint analysts using quality metric and statistical assessment tools. Forensic Science International 219: 183-198.

Budowle, B., et al. (2009). A Perspective on Errors, Bias, and Interpretation in the forensic Sciences and direction for continuing advancement. Journal of Forensic Sciences 54(4): 798-809.

Langenburg, G, Champod, C., and Wertheim, P. (2009). Testing for potential Contextual Bias Effects During the Verification Stage of the ACE-V Methodology When Conducting Fingerprint Comparison. Journal of Forensic Sciences 54 (3): 571-582

Human Factors:
(2012). Expert Working Group on Human Factors in Latent Print Analysis. Latent Print Examination and Human Factors: Improving the Practice through a Systems Approach. U.S. Department of Commerce, National Institute of Standards and Technology (http://www.nist.gov/customcf/get_pdf.cfm?pub_id=910745).

Other:
Ray, E, and Dechant, P. J. (2013). Sufficiency and Standards for Exclusion Decisions. Journal of Forensic Identification 63 (6): 675-697

Gutierrez-Redomero, E., Alonso-Rodriguez, C., Hernandez-Hurtado, L.E., and Rodrguez-Villalba, J.L. (2011). Distribution of the minutiae in the fingerprints of a sample of the Spanish population. Forensic Science International 208: 79-90.