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 recognition process more robust against degradations like noises, orientations and blurred images which are common in shoe print images and also helps in saving the processing time and memory consumption.