skip navigation


Register for Latest Research

Stay Informed
Register with NCJRS to receive NCJRS's biweekly e-newsletter JUSTINFO and additional periodic emails from NCJRS and the NCJRS federal sponsors that highlight the latest research published or sponsored by the Office of Justice Programs.

NCJRS Abstract

The document referenced below is part of the NCJRS Virtual Library collection. To conduct further searches of the collection, visit the Virtual Library. See the Obtain Documents page for direction on how to access resources online, via mail, through interlibrary loans, or in a local library.


NCJ Number: 233981 Add to Shopping cart Find in a Library
Title: Analysis of Footwear Impression Evidence
Author(s): Sargur N. Srihari
Date Published: 2011
Page Count: 89
Sponsoring Agency: National Institute of Justice (NIJ)
Washington, DC 20531
National Institute of Justice/NCJRS
Rockville, MD 20849
NCJRS Photocopy Services
Rockville, MD 20849-6000
State University of New York Research Foundation
Binghamton, NY 13902-6000
Grant Number: 2007-DN-BX-K135
Sale Source: National Institute of Justice/NCJRS
Box 6000
Rockville, MD 20849
United States of America

NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America
Document: PDF
Type: Report (Study/Research)
Format: Document
Language: English
Country: United States of America
Annotation: The development of new computational methods for use by forensic footwear examiners in the United States addresses two scenarios encountered by the forensic footwear examiner: in the investigative stage, determination of the source of an impression given a known set of outsole prints, which is useful in homicides and assaults where there are no known prints to match; and in the prosecutorial phase, determination of whether a particular impression evidence is from a known suspect’s shoe with a quantification of similarity and uncertainty.
Abstract: The results reported are among the first to achieve automation for matching crime-scene prints to a database of known prints. The performance is apparently significantly better than the results of the only other effort reported in the literature; however, the efficiency of the algorithms must be improved before they can be useful for the practitioner. Some of the tasks remaining include converting parts of the code from MATLAB into C++, creating additional user interfaces where user input can be solicited, and conversion of the results into a form suitable for courtroom presentation. Regarding methodology, a review was conducted of methods of footwear print examination as practiced in the United States, along with the published literature on algorithms for footwear impression analysis. Several subproblems were identified as requiring solutions: image process in order to improve the quality of the image for further automatic processing, extraction of feature for class characterization, methods for measuring the similarity of prints for the purpose of ranking the database, identifying distinctive features for individualization, and characterizing uncertainty in individualization. How these issues were addressed are described. 44 figures, 10 tables, and a 61-item bibliography
Main Term(s): Forensic sciences
Index Term(s): Automated crime analysis; NIJ grant-related documents; Shoe prints and tire tracks; Suspect identification
To cite this abstract, use the following link:

*A link to the full-text document is provided whenever possible. For documents not available online, a link to the publisher's website is provided. Tell us how you use the NCJRS Library and Abstracts Database - send us your feedback.