Publication details

Tools for Fraud Detection in Insurance Image Data


RÁČEK Jaroslav DAŇA Josef

Year of publication 2016
Type Article in Proceedings
Conference Proceedings of the 19th International Conference on Information Technology for Practice
MU Faculty or unit

Faculty of Informatics

Field Informatics
Keywords computer vision; image data; insurance fraud detection; local descriptors
Description This article is describing a computer vision method used for detection of insurance frauds that is based on image analysis of documents attached to the insured incident case. Local descriptors are used for detecting duplicities in visual data. Described application allows for several ways of image comparison.

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