Abstract
Palmprint as a new biometric has received great research attention in the past decades. It owns many merits, such as robustness, low cost, user friendliness, and high accuracy. Most of the current palmprint recognition systems use an active light to acquire clear palmprint images. Thus, light source is a key component in the system to capture enough of discriminant information for palmprint recognition. To the best of our knowledge, white light is the most widely used light source. However, little work has been done on investigating whether white light is the best illumination for palmprint recognition. In this study, we empirically compared palmprint recognition accuracy using white light and other six different color lights. The experiments on a large database show that white light is not the optimal illumination for palmprint recognition. This finding will be useful to future palmprint recognition system design.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Jain, A., Bolle, R., Pankanti, S.: Biometrics: Personal Identification in Network Society. Kluwer Academic Publishers, Boston (1999)
Duta, N., Jain, A.K., Mardia, K.V.: Matching of palmprint. Pattern Recognition Letter 23, 477–485 (2002)
Zhang, D., Shu, W.: Two novel characteristics in palmprint verification: datum point invariance and line feature matching. Pattern Recognition 32, 691–702 (1999)
Lin, C., Chuang, T., Fan, K.: Palmprint verification using hierarchical decomposition. Pattern Recognition 38, 2639–2652 (2005)
Ribaric, S., Fratric, I.: A biometric identification system based on Eigenpalm and Eigenfinger features. IEEE Trans. on Pattern Analysis and Machine Intelligence 27, 1698–1709 (2005)
Connie, T., Jin, A.T.B., Ong, M.G.K., Ling, D.N.C.: An automated palmprint recognition system. Image and Vision Computing 23, 501–515 (2005)
Wang, J.-G., Yau, W.-Y., Suwandy, A., Sung, E.: Person recognition by fusing palmprint and palm vein images based on “Laplacianpalm” representation. Pattern Recognition 41, 1514–1527 (2008)
Han, Y., Sun, Z., Wang, F., Tan, T.: Palmprint recognition under unconstrained scenes. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds.) ACCV 2007, Part II. LNCS, vol. 4844, pp. 1–11. Springer, Heidelberg (2007)
Zhang, D., Kong, W., You, J., Wong, M.: Online Palmprint Identification. IEEE Trans. Pattern Analysis and Machine Intelligence 25, 1041–1050 (2003)
Han, C.: A hand-based personal authentication using a coarse-to-fine strategy. Image and Vision Computing 22, 909–918 (2004)
Michael, G.K.O., Connie, T., Teoh, A.B.J.: Touch-less palm print biometrics: novel design and implementation. Image and Vision Computing 26, 1551–1560 (2008)
Wu, J., Qiu, Z., Sun, D.: A hierarchical identification method based on improved hand geometry and regional content feature for low-resolution hand images. Signal Processing 88, 1447–1460 (2008)
Hu, D., Feng, G., Zhou, Z.: Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition. Pattern Recognition 40, 339–342 (2007)
Kumar, A., Zhang, D.: Personal authentication using multiple palmprint representation. Pattern Recognition 38, 1695–1704 (2005)
Zuo, W., Zhang, D., Wang, K.: Bidirectional PCA With Assembled Matrix Distance Metric for Image Recognition. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics 36, 863–872 (2006)
Zhang, D., Zhou, Z.: (2D)2PCA: 2-Directional 2-Dimensional PCA for Efficient Face Representation and Recognition. Neurocomputing 69, 224–231 (2005)
Han, D., Guo, Z., Zhang, D.: Multispectral palmprint recognition using wavelet-based image fusion. In: International conference on signal processing, pp. 2074–2077 (2008)
Wong, M., Zhang, D., Kong, W.-K., Lu, G.: Real-time palmprint acquisition system design. IEE Proc.-Vis. Image Signal Process. 152, 527–534 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Guo, Z., Zhang, D., Zhang, L. (2009). Is White Light the Best Illumination for Palmprint Recognition?. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-03767-2_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03766-5
Online ISBN: 978-3-642-03767-2
eBook Packages: Computer ScienceComputer Science (R0)