In this work, we design a method for creating public key broadcast encryption systems. Our
main technical innovation is based on a new" two equation" technique for revoking users …

In this paper, we consider the grayscale template-matching problem, invariant to rotation,
scale, translation, brightness and contrast, without previous operations that discard …

First of all, let's give a tentative answer to the following question: what is pattern recognition
(PR)? Among all the possible existing answers, that which we consider being the best …

We present a vision-based approach to coin classification which is able to discriminate
between hundreds of different coin classes. The approach described is a multistage …

For humans, both the proprioception and touch sensing are highly utilized when performing
haptic perception. However, most approaches in robotics use only either proprioceptive data …

Detecting and classifying objects in sidescan sonar images is an important underwater
application with relevance to naval transportation and defense. Properties of the imaging …

Most applications of automatic vehicle identification systems are outdoors and are consumer-
orientated. The recognition rate, the system reliability and the processing speed are very …

This paper proposes a novel feature-based invariant descriptor termed Radon composite
features (RCFs) for planar shapes. Instead of analyzing shapes directly in the spatial …

In this letter, a change detection algorithm based on pulse-coupled neural networks (PCNN)
and the normalized moment of inertia (NMI) feature is proposed for high spatial resolution …

We consider brightness/contrast-invariant and rotation-discriminating template matching that
searches an image to analyze A for a query image Q. We propose to use the complex …