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State of the Art Biometrics Excellence Roadmap

Technology Assessment: Volume 1 (of 3)
Fingerprint, Palm print, Vascular, Standards

October 2008; v1.2

Destini Davis (Standards)

Peter Higgins (Fingerprint)

Peter Kormarinski (Fingerprint)

Joseph Marques (Vascular, Standards, Palm print)

Nicholas Orlans (Editor, Fingerprint)

James Wayman (Editor)

Sponsor: Scott Swann, Program Manager Contract No.: J-FBI-07-164

Dept. No.: G122 Project No.: 14008FC09-LA

The views, opinions and/or findings contained in this report
are those of The MITRE Corporation and should not be
construed as an official government position, policy, or
decision, unless designated by other documentation.

This document was originally published June 2008, and
reflects the state-or-the-art as of that date.

This software (or technical data) was produced for the U. S. Government under contract J-FBI-07-164, and is

subject to the Rights in Data-General Clause 52.227-14 (JUNE 1987)

© 2008 The MITRE Corporation. All Rights Reserved

Page 63


Palm prints are generally captured in a day one forward process starting with the addition of the

capability to capture them and the capability to search them. Some agencies have repositories of

palm impressions not always centralized or organized with the associated tenprint files. When a

palm matching capability is added, managers will have to decide if the palm prints should be

gathered to a central site, converted, and features extracted or not; the image may be captured in

its entirety or in two overlapping images the upper and lower palm prints. The images are not

and sharing a common area (i.e., the interdigital area). In

NGI will provide a palm service that will serve as a National Palm Print Repository.33 The

repository will receive, search, and store palm prints, including Major Case prints as shown


Figure 2-10. Example of CJIS Major Case Cards

2.13.4 Use of Flats or Plain Impressions in Latent Print Searches

In the analysis of the first 1,805 latent print identifications with their new AFIS that searched

rolled and plain impressions, 224 (12.4 percent) were made only on the flat or plain impression
and not on the rolled impression. This offers tremendous opportunities to increase the number of

latent print identifications when the plain impressions are included in the search database. Many

AFIS systems procured since that time (e.g., DoD ABIS and DoD Iraqi National AFIS) have

mandated this capability. By including plain impressions in a latent print search, there is a

documented increase of identifications. If latent searches are consolidated, there is minimal impact

to the latent print examination process.

B. Scott Swann, April 5-6, 2006, NIST Latent Workshop, Needs & Applications of Latents at FBI/CJIS.

Page 126


Ulery, B., A. Hicklin, C. Watson.. 2006b. Studies of Biometric Fusion Appendix A: Terminology,
Experimental Design and Data Description. National Institute of Standards and Technology
Gaithersburg, MD. p. 1-20.

University of Notre Dame. 2007. Image Understanding for Iris Biometrics: A Survey. Notre
Dame, Indiana.

University of Pennsylvania. Linguistic Data Consortium.

Watson, C.I., C.L. Wilson. 2005. Effect of Image Size and Compression on One-to-One

Fingerprint Matching NISTIR 7201. p. 1-40.

Wilson, C.L., C.I. Watson, M.D. Garris, A. Hicklin. Studies of Fingerprint Matching Using NIST

Verification Test Bed (VTB). p. 1-99.

L Wiskott, J.M. Fellous, N. Kruger, C. vonder Malsburg 1997 Face Recognition by Elastic

Bunch Graph Matching, Lecture Notes In Computer Science Vol. 1296 archive

Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns

Pages: 456 463.

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