Paper Info
Title
Visual perception-based criminal identification: a query-based approach.
Abstract
The visual perception of eyewitness plays a vital role in criminal identification scenario. It helps law enforcement authorities in searching particular criminal from their previous record. It has been reported that searching a criminal record manually requires too much time to get the accurate result. We have proposed a query-based approach which minimises the computational cost along with the reduction of search space. A symbolic database has been created to perform a stringent analysis on 150 public (Bollywood celebrities and Indian cricketers) and 90 local faces (our data-set). An expert knowledge has been captured to encapsulate every criminal's anatomical and facial attributes in the form of symbolic representation. A fast query-based searching strategy has been implemented using dynamic decision tree data structure which allows four levels of decomposition to fetch respective criminal records. Two types of case studies - viewed and forensic sketches have been considered to evaluate the strength of our proposed approach. We have derived 1200 views of the entire population by taking into consideration 80 participants as eyewitness. The system demonstrates an accuracy level of 98.6% for test case I and 97.8% for test case II. It has also been reported that experimental results reduce the search space up to 30 most relevant records.
Year
DOI
Venue
2017
10.1080/0952813X.2015.1132266
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Criminal identification,dynamic query optimisation,knowledge extraction,knowledge representation,classification,reasoning,expert system
Decision tree,Data structure,Knowledge representation and reasoning,Computer science,Expert system,Knowledge extraction,Artificial intelligence,Criminal record,Law enforcement,Machine learning,Visual perception
Journal
Volume
Issue
ISSN
29.0
1
0952-813X
Citations 
PageRank 
References 
1
0.36
13
Authors
2
Name
Order
Citations
PageRank
Avinash Kumar Singh13113.77
Gora Chand Nandi214819.20