Abstract
Biometrics authentication system using palmprint is played nowadays as a good research work on selected modalities, palm print has more features compare to fingerprint and it is hard to be copied and easy to acquire. The piece of work is primarily addressing the mechanism of preprocessing, feature extraction and matching of palmprint data. The Region of Interest (ROI) extracted by using Euclidean distance. The appearance-based approach like Two-Dimension locality preserving projection (2DLPP) is used for feature extraction technique. The matching conducting in two cases Identification and Verification with help of distance measure. The experiments conducted over CASIA Multi-spectral database v1.0 and the results shown the identification was giving the result 97.33% with error rate 5.33%, while the verification result is 94.67% with error rate 2.67% of the palmprint system.
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
References
Jain, A.K., Flynn, P., Ross, A.A.: Handbook of Biometrics. Springer Science and Business Media, LLC, USA (2008)
Jain, A.K., Pankanti, S., Prabhakar, S., Hong, L., Ross, A.: Biometrics: a grand challenge. In: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, vol. 2, pp. 935–942 (2004)
Mishra, A.: Multimodal biometrics it is: need for future systems. Int. J. Comput. Appl. 4, 28–33 (2010)
Connie, T., Teoh, A., Goh, M., Ngo, D.: Palmprint recognition with PCA and ICA. In: Conference of Image and Vision Computing New Zealand (IVCNZ’03), pp. 227–232 (2003)
Mirmohamadsadeghi, L., Drygajlo, A.: Palm vein recognition with local binary patterns and local derivative patterns. In: 2011 International Joint Conference on Biometrics (IJCB), Washington, DC, pp. 1–6 (2011)
Wu, X.-Q., Wang, K.-Q., Zhang, D.: Palmprint recognition using Fisher’s linear discriminant. In: Proceedings of the International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), vol. 5, pp. 3150–3154 (2003)
Chen, S., Zhao, H., Kong, M., Luo, B.: 2DLPP: a two-dimensional extension of locality preserving projections. Neurocomputing 70(4–6), 912–921 (2007)
Wang, J.G., Yau, W.Y., Suwandy, A.: Fusion of palmprint and palm vein images for person recognition based on Laplacian palm feature. Pattern Recogn. 41(5), 1514–1527 (2008)
Hu, D., Feng, G., Zhou, Z.: Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition. Pattern Recogn. 40, 339–342 (2007)
He, X., Yan, S., Hu, Y., Niyogi, P., Zhang, H.: Face recognition using Laplacianfaces. IEEE Trans. Pattern Anal. Mach. Intell. 27(3), 328–340 (2005)
Pan, X., Ruan, Q.-Q., Wang, Y.-X.: An improved 2DLPP method on Gabor features for palmprint recognition. In: Proceeding in ICIP 2007, pp. 413–416 (2007)
Ali, M.M.H., Yannawar, P., Gaikwad, A.T.: Study of edge detection methods based on palmprint lines. In: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, India, pp. 1344–1350 (2016)
Wirayuda, T.A.B., Adhi, H.A., Kuswanto, D.H., Dayawati, R.N.: Real-time hand-tracking on video image based on palm geometry. In: International Conference of Information and Communication Technology, pp. 241–246 (2013)
Kekre, H.B., Sarode, T., Vig, R.: An effectual method for extraction of ROI of palmprints. In: International Conference on Communication, Information and Computing Technology (ICCICT), pp. 19–20 (2012)
He, X.: Locality preserving projections. In the document dissertation for a degree of Doctor of Philosophy Chicago, Illinois (2005)
Malik, J., Girdhar, D.: Reference threshold calculation for biometrics authentication. Int. J. Graph. Signal Process. 246–253 (2014)
Ali, M.M.H., Gaikwad, A.T.: Multimodal biometrics enhancement recognition system based on fusion of fingerprint and PalmPrint: a review. Global J. Comput. Sci. Technol. 16(2-F), 13–26 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ali, M.M.H., Gaikwad, A.T., Yannawar, P.L. (2019). Palmprint Identification and Verification System Based on Euclidean Distance and 2D Locality Preserving Projection Method. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 707. Springer, Singapore. https://doi.org/10.1007/978-981-10-8639-7_21
Download citation
DOI: https://doi.org/10.1007/978-981-10-8639-7_21
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8638-0
Online ISBN: 978-981-10-8639-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)