Abstract
A new algorithm for human recognition by hand-palm images is presented in this paper. The suggested approach is based on characteristics of the minimal eigenvalues obtained from Toeplitz matrices for image description. The recognition steps in the algorithm use both classical and new approaches. The achieved results are promising although of not very high rate of classification. The effectiveness of the recognition has achieved 100% in small classes and about 70% in large classes using the new trend of minimal eigenvalues. It reaches, however, a 100% rate of classification following the classical methods of comparison and classification for even bigger classes.
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.
References
Saeed K., Werdoni M., “An Experimental Algorithm for Human Identification by Hand-Palm Geometry,” 10th International Conference on Advanced Computer Systems-ACS’03, October 22–24, Miedzyzdroje 2003.
Gonzales R. C, Woods R.E., “Digital Image Processing”, Prentice-Hall, New Jersey 2002.
Werdoni M., “An Experimental Algorithm for Person Identification by Recognizing Geometrical Parameters of His Hand”, M.Sc. Thesis, Bialystok University of Technology, 2003.
Saeed K., “Computer Graphics Analysis: A Criterion for Image Feature Extraction and Recognition,” MGV-International Journal on Machine Graphics and Vision, Institute of Computer Science, Polish Academy of Sciences, Volume 10, Issue 2, Warsaw 2001, pp. 185–194.
Saeed K., “Object Classification and Recognition Using Toeplitz Matrices,” Artificial Intelligence and Security in Computing Systems, edited by Jerzy Soldek and Leszek Drobiazgiewicz, The Kluwer International Series in Engineering and Computer Science, Volume 752, September 2003.
Saeed K., Tabędzki M., Adamski M., “A New Approach for Object-Feature Extract and Recognition,” The 9th International Conference ACS (Advanced Computer Systems), pp. 389–397, 23–25 October, Międzyzdroje 2002.
Kuchariew G. A., “Biometric Systems — Methods and Approaches of Human Personality Identification,” Politechnic Press (in Russian), Petersburg 2001.
Sanchez-Reillo R., Sanchez-Avila C, Gonzalez-Marcos A.: “Biometric Identification through Hand Geometry Measurements,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 10, October 2000, pp. 1168–1171.
Lindeburg L., “Scale-Space Theory in Computer Vision” Kluwer Academic Publishers, Boston 1994.
Rao A. R., Jain R. C, “Computerized Flow Field Analysis: Oriented Texture-Fields” IEEE Trans. Pattern Analysis, and Machine Intelligence, vol. 14, no. 7, pp. 693–709, July 1992.
Saeed K., Kozlowski M., “An Image-Based System for Spoken-Letter Recognition,” Lecture Notes in Computer Science, Springer-Verlag, pp. 494–502, 10th CAIP Int. Conference on Computer Analysis of Images and Patterns, August 25–27, Groningen, The Netherlands 2003.
Saeed K., “Efficient Method for On-Line Signature Verification” Proc. ICCVG Int. Conf. on Computer Vision and Graphics, Zakopane, Poland, pp. 635–640.
Saeed K., “A New Approach in Image Classification” Proc. 5th International Conference on Digital Signal Processing and its Applications-DSPA’03, Vol. 1, pp. 49–52, Moscow 2003.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer Science+Business Media, Inc.
About this paper
Cite this paper
Saeed, K., Werdoni, M. (2005). A New Approach for Hand-Palm Recognition. In: Pejaś, J., Piegat, A. (eds) Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems. Springer, Boston, MA. https://doi.org/10.1007/0-387-23484-5_18
Download citation
DOI: https://doi.org/10.1007/0-387-23484-5_18
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4020-7776-0
Online ISBN: 978-0-387-23484-7
eBook Packages: Computer ScienceComputer Science (R0)