LTU Technologies, the provider of image search and recognition solutions, announced it has released LTU Image-Seeker for EnCase (ISE) 2.0. ISE is a trusted plug-in enhancing image analysis capabilities within Guidance Software's EnCase, the industry-standard computer forensics tool among law enforcement, government and enterprise investigators. In addition to extending the tool to large enterprises by providing support for EnCase Enterprise, ISE 2.0 enhances image classification processes through automation that automatically flags folders containing pornography or other targeted image content types. ISE 2.0 combines LTU's image recognition technology with Guidance Software's industry-standard computer and enterprise investigation capability. Since the first version of ISE was released in 2006, hundreds of users in dozens of government and law enforcement agencies worldwide have adopted the tool as a means by which to quickly analyze and index images while in the field and away from the lab. Now, through its integration with EnCase Enterprise, ISE 2.0 also answers the demand from large enterprises for image analysis tools as they seek ways to reduce the risks of liability and intellectual property loss arising from the storage of inappropriate images and video by enterprise end users. In addition to integration with EnCase Enterprise, ISE 2.0 also includes enhancements to its image classification functionality. ISE has always allowed users to detect duplicate and modified versions of reference images. This is key for investigators who need to quickly compare seized images to those in law enforcement databases to uncover previously unknown photographs that may be associated with a recent crime or current case in progress. Now, new enhancements also enable users to identify images without a specific reference image set. Based on their fit with a general category, such as pornography, ISE 2.0 automatically flags images as suspicious and alerts the user as to which folders on their networks contain the image files. ISE 2.0 is based on a core LTU technology that indexes the pixels of an image to create a digital signature or "image DNA" that describes the key visual features of each image. This approach has proven to be more effective than the use of keyword tags and binary file identifiers alone.
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