Abstract
The paper considers new approach to palm shape analysis that is based on continuous skeletons of binary images. The approach includes polygonal approximation of binary image, skeleton construction for the polygonal approximation and skeleton regularization by pruning. Skeleton of polygonal shape is a locus of centers of maximum inscribed circles. Both internal and external skeletons of palm shape are used for analysis. Segmentation of initial image, palm orientation and structure identification, fingers segmentation and characteristic points detection are performed based on image skeleton. Algorithm of color palm images binarization and computational experiments with large database of such images are described in the paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Siddiqi, K., Pizer, S.M.: Medial Representations: Mathematics, Algorithms and Applications. Springer, Heidelberg (2008)
Blum, H.: A Transformation for Extracting New Descriptors of Shape. In: Proc. Symposium Models for the Perception of Speech and Visual Form. MIT Press, Cambridge (1967)
Costa, L., Cesar, R.: Shape Analysis and Classification. CRC Press, Boca Raton (2001)
Strzodka, R., Telea, A.: Generalized Distance Transforms and Skeletons in Graphics Hardware. In: Proc. Eurographics IEEE TCVG Symp. Visualization, pp. 221–230 (2004)
Mestetskiy, L.: Continuous Skeleton of Binary Raster Bitmap (in Russian). In: Graphicon 1998, International Conference on Computer Graphics, Moscow (1998)
Mestetskiy, L., Semenov, A.: Binary Image Skeleton—Continuous Approach. In: Proc. of 3rd Int. Conf. on Computer Vision Theory and Applications, vol. 1, pp. 251–258. INSTICC Press (2008)
Mestetskiy, L.M.: Continuous Morphology of Binary Images: Figures, Skeletons and Circulas (in Russian). In: FIZMATLIT, Moscow (2009)
Mestetskiy, L.: Skeleton Representation Based on Compound Bezier Curves. In: Proc. of 5th Int. Conf. on Computer Vision Theory and Applications, vol. 1, pp. 44–51. INSTICC Press(2010)
Bakina, I.: Palm Shape Comparison for Person Recognition. In: Proc. of 6th Int. Conf. on Computer Vision Theory and Applications, Portugal (2011)
Kurakin, A., Mestetskiy, L.: Hand Gesture Recognition through On-line Skeletonization. Application of Continuous Skeleton to Real-Time Shape Analysis. In: Proc. of 6th Int. Conf. on Computer Vision Theory and Applications, Portugal (2011)
Magalhães, F., Oliveira, H.P., Matos, H., Campilho, A.: HGC 2011—Hand Geometric Points Detection Competition Database (published: December 23, 2010), http://paginas.fe.up.pt/~hgc2011/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mestetskiy, L., Bakina, I., Kurakin, A. (2011). Hand Geometry Analysis by Continuous Skeletons. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21596-4_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-21596-4_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21595-7
Online ISBN: 978-3-642-21596-4
eBook Packages: Computer ScienceComputer Science (R0)