Abstract
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.
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García-Casarrubios Muñoz, Á., Sánchez Ávila, C., de Santos Sierra, A., Guerra Casanova, J. (2010). A Mobile-Oriented Hand Segmentation Algorithm Based on Fuzzy Multiscale Aggregation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17289-2_46
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DOI: https://doi.org/10.1007/978-3-642-17289-2_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17288-5
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