Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Texture Segmentation by Multiscale Aggregation of Filter Responses and Shape Elements
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
The Comparative Research on Image Segmentation Algorithms
ETCS '09 Proceedings of the 2009 First International Workshop on Education Technology and Computer Science - Volume 02
Revolutionary Information System Application in Biometrics
ICNDS '09 Proceedings of the 2009 International Conference on Networking and Digital Society - Volume 01
A Comparison Study on Hand Recognition Approaches
SOCPAR '09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition
Evolutionary image segmentation based on multiobjective clustering
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Markerless visual fingertip detection for natural mobile device interaction
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Invariant hand biometrics feature extraction
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
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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.