Assessing the clarity of friction ridge impressions

Forensic Science International

Volumn 226, Issue 1-3, 2013, Pages 106-117

  Hicklin, R Austin ^a   Buscaglia, JoAnn ^b   Roberts, Maria Antonia ^b  

^a NOBLIS   (United States)

^b Federal Bureau of Investigation   (United States)

Author keywords

Fingermark; Fingerprint quality; Image quality; Latent fingerprint; Quality metrics

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; CLARITY; COLOR; COMPUTER PROGRAM; ELECTRONIC DATA INTERCHANGE; FINGER DERMATOGLYPHICS; FRICTION RIDGE IMPRESSION; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; OVERALL CLARITY METRIC; PHYSICAL PARAMETERS; PRIORITY JOURNAL; QUALITY CONTROL; QUANTITATIVE ANALYSIS;

EID: 84875607088     PISSN: 03790738     EISSN: 18726283     Source Type: Journal    
DOI: 10.1016/j.forsciint.2012.12.015     Document Type: Article

References (15)

1. Scientific Working Group on Friction Ridge Analysis, Study and Technology. Standard terminology of friction ridge examination, ver.3.0 (2011). http://swgfast.org/documents/terminology/110323_Standard-Terminology_3.0.pdf.
2. Ulery B.T., Hicklin R.A., Buscaglia J., Roberts M.A. Accuracy and reliability of forensic latent fingerprint decisions. Proc Natl Acad Sci USA 2011, 108(19):7733-7738. http://www.pnas.org/content/108/19/7733.full.pdf.
3. Hicklin R.A., Buscaglia J., Roberts M.A., Meagher S.B., Fellner W., Burge M.J., Monaco M., Vera D., Pantzer L.R., Yeung C.C., Unnikumaran T.N. Latent fingerprint quality: a survey of examiners. J Forensic Identification 2011, 61(4):385-418.
4. Ulery B.T., Hicklin R.A., Buscaglia J., Roberts M.A. Repeatability and reproducibility of decisions by latent fingerprint examiners. PLoS ONE 2012, 7(3). http://www.plosone.org/article/info:doi/10.1371/journal.pone.0032800.
5. Ashbaugh D. Quantitative-Qualitative Friction Ridge Analysis: An Introduction to Basic and Advanced Ridgeology 1999, CRC Press, Boca Raton, London, New York, Washington DC.
6. Hicklin R.A., Reedy C.L. Implications of the IDENT/IAFIS image quality study for visa fingerprint processing. Noblis 2002, http://www.noblis.org/MissionAreas/nsi/ThoughtLeadership/IdentityDiscovery_Management/Documents/NIST%20IQS%20Final.pdf.
7. E. Tabassi, C.L. Wilson, C.I. Watson, Fingerprint Image Quality, NIST Interagency Report 7151. National Institute of Standards and Technology, Gaithersburg, MD (2004). ftp://sequoyah.nist.gov/pub/nist_internal_reports/ir_7151/ir_7151.pdf.
8. Huber R.A. Expert witness. Crim Law Quart 1959, 2:276-296.
9. Vanderkolk J. Forensic Comparative Science: Qualitative Quantitative Source Determination of Unique Impressions, Images, and Objects 2009, Academic Press, Burlington Massachusetts, San Diego California, and London UK.
10. Office of the Inspector General A Review of the FBI's Handling of the Brandon Mayfield Case 2006, U.S. Department of Justice, Washington, DC.
11. National Institute of Standards American National Standard for Information Systems: Data Format for the Interchange of Fingerprint Facial & Other Biometric Information 2011, ANSI/NIST-ITL 1-2011, http://fingerprint.nist.gov/standard.
12. Langenburg G., Champod C. The GYRO system - a recommended approach to more transparent documentation. J Forensic Identification 2011, 61(4):373-384.
13. Laird A., Lindgren K. Analysis of fingerprints using a color-coding protocol. J Forensic Identification 2011, 61(2):147-154.
14. Gonzalez R.C., Woods R.E. Digital Image Processing 2007, Prentice Hall, Upper Saddle River, NJ. 3rd ed.
15. NIST Special Database 27: Fingerprint Minutiae from Latent and Matching Ten-print Images. http://www.nist.gov/ts/msd/srd/nistsd27.cfm.