Abstract
In this paper, we propose a novel Discriminant Orientation Representation, called DORIR, for palmprint identification. To extract DORIR feature, we proposed the algorithm which includes two main steps: (1) Palm line orientation map computation and (2) Discriminant feature extraction of the orientation field. In the first step, positive orientation and negative orientation maps are proposed as the input of two dimensional linear discriminant analysis (2D-LDA) for computing the class-separability features. In the second step, the grid-sampling based 2DLDA, called Grid-LDA, is used to remove redundant information of orientation maps and form a discriminant representation more suitable for palmprint identification. The experimental results on the two public databases of Hong Kong Polytechnic University (PolyU) show that proposed technique provides a very robust orientation representation for recognition and gets the best performance in comparison with other approaches in literature.
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
Kong, A., Zhang, D., Kamel, M.: A survey of palmprint recognition. Pattern Recognition 42, 1408–1418 (2009)
Hu, D., Feng, G., Zhou, Z.: Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition. Pattern Recognition 40, 339–342 (2007)
Wu, X., Zhang, D., Wang, K.: Fisherpalms based palmprint recognition. Pattern Recognition Letters 24, 2829–2838 (2003)
Lu, G., Zhang, D., Wang, K.: Palmprint recognition using eigenpalms features. Pattern Recognition Letters 24, 1463–1467 (2003)
Huang, D.S., Jia, W., Zhang, D.: Palmprint verification based on principal lines. Pattern Recognition 41(5), 1514–1527 (2008)
Wu, X., Zhang, D., Wang, K., Huang, B.: Palmprint classification using principal lines. Pattern Recognition 37, 1987–1998 (2004)
Wu, X., Zhang, D., Wang, K.: Palm Line Extraction and Matching for Personal Authentication. IEEE Transactions on System, Man, and Cybernetics-part A: Systems and Humans 36(5), 978–987 (2006)
Kong, A.W.K., Zhang, D.: Competitive coding scheme for palmprint verification. In: Proceedings of International Conference on Pattern Recognition, pp. 520–523 (2004)
Zhang, D., Guo, Z., Lu, G., Zhang, L., Zuo, W.: An Online System of Multispectral Palmprint Verification. IEEE Transactions Instrumentation and Measurement 59, 480–490 (2010)
Jia, W., Huanga, D.S., Zhang, D.: Palmprint verification based on robust line orientation code. Pattern Recognition 41, 1316–1328 (2008)
Du, F., Yu, P., Li, H., Zhu, L.: Palmprint Recognition using Gabor Feature-based Bidirectional 2DLDA. In: Yu, Y., Yu, Z., Zhao, J. (eds.) CSEEE 2011, Part II. CCIS, vol. 159, pp. 230–235. Springer, Heidelberg (2011)
Van, H.T., Tat, P.Q., Le, T.H.: Palmprint verification using GridPCA for Gabor features. In: Proceedings of the Second Symposium on Information and Communication Technology SOICT 2011, pp. 217–225 (2011)
Van, H.T., Le, T.H.: GridLDA of Gabor Wavelet Features for Palmprint Identification. In: SoICT 2012 Proceedings of the Third Symposium on Information and Communication Technology, pp. 125–134 (2012)
PolyU multispectral palmprint Database, http://www.comp.polyu.edu.hk/~biometrics/MultispectralPalmprint/MSP.htm
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Van, H.T., Le, T.H. (2014). On Discriminant Orientation Extraction Using GridLDA of Line Orientation Maps for Palmprint Identification. In: Huynh, V., Denoeux, T., Tran, D., Le, A., Pham, S. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-02741-8_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-02741-8_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02740-1
Online ISBN: 978-3-319-02741-8
eBook Packages: EngineeringEngineering (R0)