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In this work we address two important issues of off-line signature verification. The first one regards feature extraction. We introduce a new graphometric feature set that considers the curvature of the most important segments, perceptually speaking, of the signature. The idea is to simulate the shape of the signature by using Bezier curves and then extract(More)
In this work we present a method for selecting instances for a writer identification system underpinned on the dissimilarity representation and a holistic representation based on texture. The proposed method is based on a genetic algorithm that surpasses the limitations imposed by large training sets by selecting writers instead of instances. To show the(More)
—In this study we assess the performance of textural descriptors for writer identification on different writing styles and also on forgeries. To do that, we have performed a series of experiments using the Firemaker database, which provides for the same writer texts written on three different writing styles and also copied forged text. Our experimental(More)
Over the last decade, Acinetobacter baumannii resistant to carbapenems has emerged in many medical centres and has been commonly associated with high morbimortality. In Brazil, this resistance is mainly attributed to the spread of OXA-23-producing clones and, to a lesser extent, to OXA-143-producing clones. Here, we describe, for the first time, two(More)
This paper describes the results obtained in a set of experiments performed making feature selection using Genetic Algorithms. The objectives were to improve the recognition rates or to reduce the feature vector dimensionality in music genre recognition task. Firstly, music pieces taken from Latin Music Database were decomposed into 3 different sub-signals,(More)
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