Automatic Acquisition and Identification of Footwear Class Characteristics, United States, 2020-2022 (ICPSR 39354)
Principal Investigator(s): View help for Principal Investigator(s)
Susan Vanderplas, University of Nebraska-Lincoln
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Summary View help for Summary
Most footwear evidence in the United States is evaluated on the basis of class characteristics, without regard for individualizing information. Unfortunately, it is very difficult to assess the strength of a class characteristic match due to lack of data about the frequency of class characteristics within a population. This project addresses the lack of data through the development of equipment and software which can automate the data collection process. The data include images taken with the prototype shoe scanner on a college campus located in Ames, Iowa.
For additional information, see the project's final report prepared for the National Institute of Justice.