Abstract
The basis of pattern recognition is storing a large number of images in databases to compare them to any new one to decide whether it is already contained in the database. Fingerprints are graphical patterns of locally parallel ridges and valleys with well defined orientations on the surfaces of fingertips. The idea of saving down-sampled images rather than the original ones can be used with different types of databases such as fingerprint and landmine databases with gray-scale images and flower and retinal databases with color images. Detection of landmines from acoustic images can be accomplished by traditional shape-based techniques. The detection of a landmine can be achieved by the intensity thresholding of the landmine image with a certain threshold to remove the dark background. Several experiments have been carried out to test the performance of the cepstral pattern recognition method after several types of image interpolation to retain the original image sizes.