Law Enforcement and Criminal Justice Application Papers

IRAS: An Inmates’ Risk Assessment System

PerpSearch: An Integrated Crime Detection System

A Host Architecture for Automobile License Plate Recognition

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IRAS: An Inmates’ Risk Assessment System

Li Ding, Brandon Dixon, Allen Parrish,

International Journal of Computers and Their Applications, Vol. 16, No. 2, June 2009

This research had the goal of improving the classification of offenders into their different levels of risk in order to improve the decision-making process with regard to diversion programs (i.e., alternatives to incarceration). The system is based on an automated assessment of the likelihood of recidivism based on nine weighted attributes. The system can easily be tested by running it on past historical data and then comparing the results with the observation of more recent outcomes. This was pilot tested using data from Madison County, Alabama.

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PerpSearch: An Integrated Crime Detection System

Li Ding, Dana Steil, Matthew Hudnall, Brandon Dixon, Randy Smith, David Brown, Allen Parrish,

IEEE International Conference on Intelligence and Security Informatics, Dallas, TX, Jun. 8 - Jun. 11, 2009.

This paper presents the first attempt to integrate four distinct approaches to solving crimes, all of which have proven their value when applied independently, namely: (1) geographic assessment, (2) social networking, (3) crime pattern analysis, and (4) physical description match. The system that integrates these four search techniques, called PerpSearch, takes a description of the crime, including its locations and all other known aspects (e.g., physical characteristics of suspects, vehicles, etc.), and runs it all through the PerpSearch engine components, where they are combined to produce a score for each potential suspect. By using past data on crimes prior to solution and comparing the results against the eventual known perpetrators, the system can be fine tuned and validated. A prototype has been implemented using current Alabama criminal and demographic databases.

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A Host Architecture for Automobile License Plate Recognition

Mitchell, M, M. Hudnall, D. Brown, D. Cordes, R. Smith, A. Parrish,

Proceedings of the IEEE International Conference on Intelligence and Security Informatics 2008 (ISI 2008), New Brunswick, NJ, May 2008.

The objective of this paper was to present an architecture that supports data transmission and data sharing among applications related to commodity tag recognition systems. These systems are used extensively in Great Britain and other countries to recognize automobile license plates and to notify security officials of suspicious activity or trafficking by known suspects. This architecture was tested in a successful pilot project.

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