Shoe Print Recognition
نویسنده
چکیده
The impression of a piece of footwear can potentially lead to 3 identifications, of increasing accuracy; a shoe of a certain size, a shoe of a certain make or a specific shoe. The quality of the print will usually dictate which of these is possible. A vague outline is unlikely to provide conclusive evidence, but could offer some information about the size, and in some cases the brand of a shoe. A high quality print that reveals defects and shape-differences specific to an individual's shoe is very rare, and the fact that there will only be one sample of any specific shoe means the chances of a conclusive classification here is low. The most common type of recognition will be that of the shoe's make and model, due to the availability of this data (from shoe manufacturers), the number of samples and the ability to classify according to identifiable features.
منابع مشابه
Full Shoe Print Recognition based on Pass Band DCT and Partial Shoe Print Identification using Overlapped Block Method for Degraded Images
In this paper, a novel approach is made to discard the degradations in full shoe prints and partial shoe prints, in processing those images for recognition. A pass band DCT coefficient has been used to extract feature vectors. A more robust approach has been dealt with to find the matching between the partial shoe prints and the images in the data base. This method makes the shoe print recognit...
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ISSN 2277 5080 | © 2012 Bonfring Abstract--Shoe prints at the place of crime provide valuable forensic evidence. In this paper, a novel approach of Shoeprint identification has been proposed and discussed. Fisher linear discrimination (FLD) is used to extract the features in shoe print images. For dimensionality reduction, PCA has been used. In addition to that, a pass band DCT has been used fo...
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In this paper, a novel approach is made to discard the degradations in full shoe prints and partial shoe prints, in processing those images for recognition. A pass band DCT coefficient has been used to extract feature vectors. A more robust approach has been dealt with to find the matching between the partial shoe prints and the images in the data base. This method makes
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