The large volume and variety of digital images currently acquired and used in different application domain has given rise to the requirement of image analysis. Images can be found in many application domains such as journalism, advertizing, medicine, weather forecasting, video surveillance, map production, remote sensing, computer aided designs etc. In particular, there is an increasing need for the development of image analysis in the forensic science, to place the perpetrator at the scene of a crime. While each application has requirements unique from the others, all are concerned with faster, cheaper, and more accurate results. Ease with which the images can be created, they may be manipulated to sway opinions or for monetary gains; one needs to be aware that seeing does not always imply believing, especially in courtrooms. And also the human visual system is, at times remarkably inept at detecting simple geometric inconsistencies that might result from photo tempering. Even sometimes, simple differences may not be identified by the visual system. Analysis of images for information extraction has become very prominent area of interest in recent past. This article provides an overview of various issues used for forensic image analysis (FIA) using the three main components: Pre-processing, Feature extraction and the Image analysis. Embedding such capabilities of image analysis components in visual surveillance systems may automatically detect hostile intent in advance.
Forensic image analysis, Feature extraction, pre-processing, soft computing
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THE INTERNATIONAL JOURNAL OF FORENSIC COMPUTER SCIENCE - IJoFCS
Volume 8, Number 1, pages 13-19, DOI: 10.5769/J201301002 or http://dx.doi.org/10.5769/J201301002
Forensic Image Analysis - A Frame work
By R. B. Hanji, and Vijay S. Rajpurohit
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