Cesar A. M. Carvalho

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In this paper, we present an artificial neural network (ANN) architecture for segmenting unconstrained handwritten sentences in the English language into single words. Feature extraction is performed on a line of text to feed an ANN that classifies each column image as belonging to a word or gap between words. Thus, a sequence of columns of the same class(More)
Population projections for Mozambique are presented for the next century using data from the 1970 census. Three alternative assumptions are made concerning the rate of socioeconomic development that will occur. The alternative projections show the average rates of annual increase, the sex and age structure of the population, and crude birth and death(More)
This paper works with an Artificial Neural Network (ANN) architecture to segment unconstrained English handwriting sentences into single words. The ANN receives a feature set of the handwritten text line and classifies each image’s column belonging to a word or a gap between words. As result, the sequences of columns with the same classification represent(More)
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