JanKees van der Poel

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Automatic face recognition is a challenging problem, since human faces have a complex pattern. This paper presents a technique for recognition of frontal human faces on gray scale images. In this technique, the distance between the Discrete Cosine Transform (DCT) of the face under evaluation and all the DCTs of the faces database are computed. The faces(More)
This paper presents a face recognition method based on Discrete Cosine Transform (DCT) coefficient's selection. Without a normalization phase, the proposed method uses, in its feature selection stage, a technique based only on the DCT coefficients amplitudes. Three coefficient selection criterions were analyzed: the first one is the average of the(More)
This work presents a new multiscale, curvature-based shape representation technique for planar curves. One limitation of the well-known curvature scale space (CSS) method is that it uses only curvature zero-crossings to characterize shapes and thus there is no CSS descriptor for convex shapes. The proposed method, on the other hand, uses(More)
Methods and techniques for data compression have been used for pattern recognition, including automatic text classification. The performance of the Prediction by Partial Matching (PPM) as a text classifier has already been proofed by many works, including authorship attribution for Portuguese texts. Classes involved in classification process may not be(More)
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