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One of the important evidence in a crime scene that is normally overlookedbut very important evidence is shoe print as the criminal is normally unawareof the mask for this. In this paper we use image processing technique toprocess reference shoe images to make it index-able for a search from thedatabase the shoe print impressions available in the commercial market. This isachieved first by converting the commercially available image through theprocess of converting them to gray scale then apply image enhancement andrestoration techniques and finally do image segmentation to store the segmentedparameter as index in the database storage. We use histogram method for imageenhancement, inverse filtering for image restoration and threshold method forindexing. We use global threshold as index of the shoe print. The paperdescribes this method and simulation results are included to validate themethod.

Threshold Based Indexing of Commercial Shoe Print to Create Reference and Recovery Images