Microfossils shape classification using a set of width values

Recognition the shape of objects is a particularly relevant problem in pattern recognition. Foraminifera are very important microfossil to determine geological age of marine rocks. In this paper we propose an approach to shape recognition that takes as input the measurements of widths of the most common foraminifera shells after a pre-processing step to rotate the object in order to have vertical alignment. A k-NN and an MLP classifiers are compared for classification of chambers arrangement, experimental results show 87.1 and 97.1% of right answers, respectively