Title: An intelligent system of content-based image retrieval for crime investigation

Authors: K.V. Shriram; P.L.K. Priyadarsini; A. Baskar

Addresses: Centre for Research and Development, PRIST University, Tanjore, Tamil Nadu, India ' School of Computing, SASTRA University, India ' Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore, India

Abstract: Crimes in the modern world have been increasing dramatically in proportion with technological growth. In many situations, investigators have a sketch of the criminal, generated from the details given by the eye witnesses. There is a need of a better methodology for identifying the culprits from those images. Nowadays, RAM and memory sizes have become huge and in turn, there is a tremendous increase in the size of the databases. Investigators have huge datasets with details, photographs, images of the criminals or crime scenes and this is the second important consideration. Image search has become highly challenging task in these dense database environments. Accuracy and speed are two important factors for this type of image searches. We propose a compact embedded search engine to search and extract images from these data bases, using a content-based image retrieval (CBIR) algorithm.

Keywords: content-based image retrieval; CBIR; crime detection; embedded systems; SIFT; speeded up robust features; SURF; histogram; entropy; texture; intelligent systems; crimal investigation; image search; embedded search engine; feature extraction; crimes.

DOI: 10.1504/IJAIP.2015.073707

International Journal of Advanced Intelligence Paradigms, 2015 Vol.7 No.3/4, pp.264 - 279

Received: 13 Nov 2014
Accepted: 01 May 2015

Published online: 16 Dec 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article