Analysis of image processing, machine learning and information fusion techniques for contact-less hand biometrics

Clustering error and estimation of an upper bound for the documents complexity obtained for all the word selection methods when the asterisk substitution method is used.. The

As to the experiments, we have studied the effect of training and testing with images acquired at different dis- tances using two classical face recognition approaches (DCT-GMM-

Previous studies have shown that the performance of behavioral biometric recognition systems (e.g. voice and signature) can be largely improved with score normalization

Keywords: Millimeter wave images, 94 GHz, image simulation, synthetic database, biometrics, image process- ing, body geometry, distance-based features, feature extraction,

Excellent agreement is observed when spectroscopic parameters obtained at the AE level are compared with the ‘‘best’’ type of AIMP calcula- tions, i.e., when small-core AIMPs

In this work, we (1) propose a generic feature level fu- sion of Bloom filter-based templates based on face and iris, (2) restricting our aim to the irreversibility of the stored

Fur- thermore, systems that combine both on- and off-line infor- mation are of interest in new scenarios where signatures are collected on a paper attached to a digitizing tablet

MACHINE LEARNING METHODS FOR MEDICAL IMAGE CLASSIFICATION Finally, we will analyze all results, looking for the best trained model, and we will discuss the future work needed to use