Crime investigation and analysis using neural nets

Q. A. Memon, S. Mehboob

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Crime investigation, with special reference to homicide cases, involves intensive and phase wise collection of data. We discuss a technique for comparing previously available data of the homicide cases with the current one. The system to be developed here is based upon an artificial neural network and is intended to be used by homicide detectives and other special task personnel for providing improved and sound reports to the courts of justice. The objective is thus to provide an automated crime analysis system (ACS) which is based upon an artificial neural network (ANN). The system also provides a crime visualization feature that gives the user a pictorial representation of crime details. This feature uses an incremental approach to represent the suspects and their concerns. Thus an elaborate visual description is achieved.

Original languageEnglish
Title of host publicationProceedings - INMIC 2003
Subtitle of host publicationIEEE 7th International Multi Topic Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages346-350
Number of pages5
ISBN (Electronic)0780381831, 9780780381834
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event7th IEEE International Multi Topic Conference, INMIC 2003 - Islamabad, Pakistan
Duration: Dec 8 2003Dec 9 2003

Publication series

NameProceedings - INMIC 2003: IEEE 7th International Multi Topic Conference

Other

Other7th IEEE International Multi Topic Conference, INMIC 2003
Country/TerritoryPakistan
CityIslamabad
Period12/8/0312/9/03

Keywords

  • Artificial neural networks
  • Data visualization
  • Forensics
  • Government
  • Information technology
  • Layout
  • Neural networks
  • Personnel
  • Senior citizens
  • Visual databases

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Modelling and Simulation

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