We present a fuzzy multiscale segmentation algorithm aimed at hand images acquired by a mobile device, for biometric purposes. This algorithm is quasi-linear with the size of the image and introduces a stopping criterion that takes into account the texture of the regions and controls the level of coarsening. The algorithm yields promising results in terms of accuracy segmentation, having been compared to other well-known methods. Furthermore, its procedure is suitable for a posterior mobile implementation. © 2010 Springer-Verlag.
CITATION STYLE
Garcia-Casarrubios Munoz, Á., Sánchez Ávila, C., De Santos Sierra, A., & Guerra Casanova, J. (2010). A mobile-oriented hand segmentation algorithm based on fuzzy multiscale aggregation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6453 LNCS, pp. 479–488). https://doi.org/10.1007/978-3-642-17289-2_46
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