Paper Info
Title
Face Sketch Recognition System A Content Based Image Retrieval Approach
Abstract
Content Based Image Retrieval has been one of the most popular topics in the computer vision literature. CBIR offers the opportunity to research from a huge multimedia database and with appropriate methods the relevant collections of images that have characteristics similar to the case(s) of interest. In the forensic field, CBIR has many possible uses in crime fighting and has also been investigated as a potential image-based search technology. This paper presents a new use of CBIR approach in an important application that can assist law enforcement in solving many complicated crimes. It is matching forensic sketch with digital human face or face sketch recognition system.
Year
Venue
Keywords
2016
2016 4TH IEEE INTERNATIONAL COLLOQUIUM ON INFORMATION SCIENCE AND TECHNOLOGY (CIST)
component, CBIR, Face Sketch Recognition, Eye witness, Gap, Discriminative Approach, Generative Approach
Field
DocType
ISSN
Facial recognition system,Multimedia database,Computer science,Feature extraction,Face Recognition Grand Challenge,Sketch recognition,Software,Multimedia,Content-based image retrieval,Sketch
Conference
2327-185X
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Salah Eddine Lahlali100.34
Abdelalim Sadiq202.37
Samir Mbarki358.36