Abstract
3D palmprint recognition system have been widely studied in recent years. More and more 3D palmprint feature extraction and matching methods are proposed. However, most of the existing image acquisition systems are based on commercial equipment which has high cost, big equipment volume, over-high precision and long 3D data generation time. What’s more, those systems are not designed specialized for palmprint. Most of their parameters are not suitable for 3D palmprint acquisition. Those shortcomings have seriously hindered the applications of 3D palmprint identification. In this paper, we developed a new scheme to tune the initial system parameters to balance the tradeoff of device cost, volume, and data generation time. The samples collected by our proposed device have proved its effectiveness and advantages. The system is easy to implement and will promote the application of 3D palmprint.
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Kanhangad, V., Kumar, A., Zhang, D.: Contactless and pose invariant biometric identification using hand surface. IEEE Trans. Image Process. 20(5), 1415–1424 (2011)
Kanhangad, V., Kumar, A., Zhang, D.: A unified framework for contactless hand verification. IEEE Trans. Inf. Forensics Secur. 6(3), 1014–1027 (2011)
Li, W., Zhang, D., Lu, G., Luo, N.: A novel 3-D palmprint acquisition system. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 42(2), 443–452 (2012)
Zhang, D., Lu, G., Li, W., Zhang, L., Luo, N.: Palmprint recognition using 3-D information. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 39(5), 505–519 (2009)
Zhang, L., Shen, Y., Li, H., Lu, J.: 3D palmprint identification using block-wise features and collaborative representation. IEEE Trans. Pattern Anal. Mach. Intell. 37(8), 1730–1736 (2015)
Li, W., Zhang, L., Zhang, D., Lu, G., Yan, J.: Efficient joint 2D and 3D palmprint matching with alignment refinement. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Presented at the 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 795–801 (2010)
Aggithaya, V.K., Zhang, D., Luo, N.: A multimodal biometric authentication system based on 2D and 3D palmprint features. In: Proceedings of the SPIE 6944, Biometric Technology for Human Identification V. Presented at the Biometric Technology for Human Identification V, International Society for Optics and Photonics, p. 69440C (2008)
Zhang, D., Lu, G.: 3D Palmprint classification by global features. In: 3D Biometrics, pp. 135–152. Springer, New York (2013). https://doi.org/10.1007/978-1-4614-7400-5_8
Bingöl, Ö., Ekinci, M.: Stereo-based palmprint recognition in various 3D postures. Expert Syst. Appl. 78(15), 74–88 (2017)
Bingöl, Ö., Ekinci, M.: 3D palmprint pose estimation using stereo camera. In: 2013 21st Signal Processing and Communications Applications Conference (SIU). Presented at the 2013 21st Signal Processing and Communications Applications Conference (SIU), pp. 1–4 (2013)
Srinivasan, V., Liu, H.C., Halioua, M.: Automated phase-measuring profilometry of 3-D diffuse objects. Appl. Opt. 23(18), 3105 (1984)
Berryman, F., Pynsent, P., Cubillo, J.: A theoretical comparison of three fringe analysis methods for determining the three-dimensional shape of an object in the presence of noise. Opt. Lasers Eng. 39(1), 35–50 (2003)
Tribolet, J.: A new phase unwrapping algorithm. IEEE Trans. Acoust. Speech Sig. Process. 25(2), 170–177 (1997)
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Liang, X., Wu, G., He, Y., Luo, N. (2018). Optimal Parameter Selection for 3D Palmprint Acquisition System. In: Zhou, J., et al. Biometric Recognition. CCBR 2018. Lecture Notes in Computer Science(), vol 10996. Springer, Cham. https://doi.org/10.1007/978-3-319-97909-0_8
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