Topology representing networks
Neural Networks
Empirical evaluation of dissimilarity measures for color and texture
Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms
Multiresolution Histograms and Their Use for Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Generic Scheme for Color Image Retrieval Based on the Multivariate Wald-Wolfowitz Test
IEEE Transactions on Knowledge and Data Engineering
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
IEEE Transactions on Computers
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
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A generic, transform-domain image classification method is presented and applied to the fingerprint verification problem. At first, the image is decomposed by a bank of Gabor filters and, at every pixel, its spectral information is extracted in vectorial form. In order to reduce redundancy, a neural-based vector quantizer is used to select representative samples that encode the multivariable fingerprint spectral distribution. Similarity between image distributions, utilized as a distance measure by the classification task, is then assessed in pairwise form by means of a non-parametric statistical test between the corresponding code-vectors. The presented multi-scale vectorial representation allows the inclusion of higher order dependencies among image pixels that describe in a unique way individual features of fingerprint images.