Synonym
Latent fingerprint recognition
Definitions
Cognitive processing is the term given to mental effort directed toward a particular problem. Cognitive science is an umbrella term given to all disciplines that focus on intelligent systems; research psychologists traditionally focus on human performance. The field of cognitive science includes mathematicians, computer scientists, research psychologists, biologists, and philosophers. Cognitive processing is closely linked to perceptual processing and decision making, both of which are involved in latent print examinations. As part of the science, researchers typically collect data from experts and novices to document how and when expertise develops.
Latent fingerprint examiners are practitioners who are trained to individualize or exclude latent prints and prints from known sources (e.g., 10-print cards). These practitioners often work with automated databases such as IAFIS, which provide candidate prints from known sources.
Introduction...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Busey, T.A., Vanderkolk, J.R.: Behavioral and electrophysiological evidence for configural processing in fingerprint experts. Vis. Res. 45, 431–448 (2005)
Rossion, B., Gauthier, I.: How Does the Brain Process Upright and Inverted Faces? Behav. Cogn. Neurosci. Rev. 1, 63–75 (2002)
Bukach, C.M., Gauthier, I., Tarr, M.J.: Beyond faces and modularity: The power of an expertise framework. Trends Cogn. Sci. 10, 159–166 (2006)
Rosch, E., Mervis, C.B., Gray, W.D., Johnson, D.M., Boyes-Braem, P.: Basic objects in natural categories. Cogn. Psychol. 8, 382–439 (1976)
Tanaka, J.W., Taylor, M.: Object categories and expertise: Is the basic level in the eye of the beholder? Cogn. Psychol. 23, 457–482 (1991)
Chase, W.G., Simon, H.A.: Perception in chess. Cogn. Psychol. 4, 55–81 (1973)
Charness, N.: Components of skill in bridge. Canad J Psychol. 33, 1–16 (1979)
Beal, A.L.: The skill of recognizing musical structures. Memory Cogn. 13, 405–412 (1985)
Egan, D.E., Schwartz, B.J.: Chunking in recall of symbolic drawings. Mem. Cogn. 7, 149–158 (1979)
Nosofsky, R.M.: Attention and learning processes in the identification and categorization of integral stimuli. J Exp Psychol Learn, Mem. Cogn. 13, 87–108 (1987)
Zhang, L., Cottrell, G.W.: A computational model which learns to selectively attend in category learning. Proceedings of the 2005 International Conference on Development and Learning, vol. 19. pp. 195–200
Johansen, M.K., Palmeri, T.J.: Are there representational shifts during category learning? Cogn. Psychol. 45, 482–553 (2002)
Sowden, P.T., Davies, I.R.L., Rolings, P.: Perceptual learning of the detection of features in X-ray images: A functional role for improvements in adults’ visual sensitivity? J. Exp. Psychol.: Human Percep. Perform. 26, 379–390 (2000)
Dror, I.E., Peron, A.E., Hind, S.L., Charlton, D.: When emotions get the better f us: The effect of contextual top-down processing on matching fingerprints. Appl. Cogn. Psychol. 19, 799–809 (2005)
Dror, I.E., Charlton, D.: Why experts make errors. J. Forensic Identif. 56, 600–616 (2006)
Dror, I.E., Charlton, D., Peron, A.E.: Contextual information renders experts vulnerable to making erroneous identifications. Forensic Sci. Int. 156, 74–78 (2006)
Dror, I., Rosenthal, R.: Meta-analytically Quantifying the Reliability and Biasability of Forensic Experts. J. Forensic Sci. 53, 900–903 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this entry
Cite this entry
Busey, T.A., Schneider, B.L. (2009). Latent Fingerprint Experts. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_278
Download citation
DOI: https://doi.org/10.1007/978-0-387-73003-5_278
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-73002-8
Online ISBN: 978-0-387-73003-5
eBook Packages: Computer ScienceReference Module Computer Science and Engineering