References
- D. Zhang, X. Jing, and J. Yang, Biometric Image DiscriminationTechnologies (Idea Group Publishing, USA, 2006), Chapter 1.
- B. Kang and K. Park, “Multimodal biometric authenticationbased on the fusion of finger vein and finger geometry,”Opt. Eng. 48, 090501 (2009). https://doi.org/10.1117/1.3212651
- M. Jeong, “Analysis of fingerprint recognition characteristicsbased on new CGH direct comparison method and nonlinearjoint transform correlator,” J. Opt. Soc. Korea 13, 445-450(2009). https://doi.org/10.3807/JOSK.2009.13.4.445
- A. Kumar, D. Wong, H. Shen, and A. Jain, “Personal verificationusing palmprint and hand geometry biometric,” inProc. The 4th AVBPA (Guilford, UK, June 2003), LNCS2688, pp. 668-678.
- A. Kong and D. Zhang, “Competitive coding scheme forpalmprint verification,” in Proc. The 17th ICPR (Cambridge,UK, August 2004), pp. 520-523.
- F. Yue, W. Zuo, D. Zhang, and K. Wang, “Competitivecode-based fast palmprint identification using a set ofcover trees,” Opt. Eng. 48, 067204 (2009). https://doi.org/10.1117/1.3156846
- X. Wu, K. Wang, and D. Zhang, “Palmprint authentication based on orientation code matching,” in Proc. The 5thAVBPA (New York, USA, July 2005), LNCS 3546, pp.555-562.
- W. Jia, D. Huang, and D. Zhang, “Palmprint verificationbased on robust line orientation code,” Pattern Recognition41, 1504-1513 (2008). https://doi.org/10.1016/j.patcog.2007.10.011
- G. Lu, D. Zhang, and K. Wang, “Palmprint recognitionusing eigenpalms features,” Pattern Recognition Letters 24,1463-1467 (2003). https://doi.org/10.1016/S0167-8655(02)00386-0
- M. Ekinci and M. Aykut, “Gabor-based kernel PCA forpalmprint recognition,” Electron. Lett. 43, 1077-1079 (2007). https://doi.org/10.1049/el:20071688
- X. Wu, D. Zhang, and K. Wang, “Fisherpalms basedpalmprint recognition,” Pattern Recognition Letters 24, 2829-2838(2003). https://doi.org/10.1016/S0167-8655(03)00141-7
- G. Lu, K. Wang, and D. Zhang, “Wavelet based independentcomponent analysis for palmprint recognition,” in Proc.The 3rd ICMLC (Alberta, Canada, July 2004), pp. 3547-3550.
- Y. Han, T. Tan, and Z. Sun, “Palmprint recognition basedon directional features and graph matching,” in Proc. The2nd ICB (Seoul, Korea, August 2007), LNCS 4642, pp.1164-1173.
- X. Pan and Q. Ruan, “Palmprint recognition using Gabor-basedlocal invariant features,” Neurocomputing 72, 2040-2045(2009). https://doi.org/10.1016/j.neucom.2008.11.019
- D. Zhang, W. Kong, J. You, and M. Wong, “Onlinepalmprint identification,” IEEE Transactions on PAMI 25,1041-1050 (2003). https://doi.org/10.1109/TPAMI.2003.1227981
- V. Struc and N. Pavesic, “Phase congruency features forpalm-print verification,” IET Signal Processing 3, 258-268(2009). https://doi.org/10.1049/iet-spr.2008.0152
- R. Kirsch, “Computer determination of the constituent structureof biological images,” Computers & Biomedical Research4, 315-328 (1971). https://doi.org/10.1016/0010-4809(71)90034-6
- L. Huang, A. Shimizu, Y. Hagihara, and H. Kobatake,“Gradient feature extraction for classification-based facedetection,” Pattern Recognition 36, 2501-1511 (2003). https://doi.org/10.1016/S0031-3203(03)00130-4
- PolyU Palmprint Database, available at http://www4.comp.polyu.edu.hk/~biometrics/.
- X. Wu, K. Wang, and D. Zhang, “Wavelet energy featureextraction and matching for palmprint recognition,” Journalof Computer Science and Technology 20, 411-418 (2005). https://doi.org/10.1007/s11390-005-0411-8
- J. Daugman, “The importance of being random: statisticalprinciples of iris recognition,” Pattern Recognition 36,279-291 (2003). https://doi.org/10.1016/S0031-3203(02)00030-4
- R. Snelick, U. Uludag, A. Mink, M. Indovia, and A. Jain,“Large-scale evaluation of multimodal biometric authenticationusing state-of-the-art systems,” IEEE Transactions onPAMI 27, 450-455 (2005). https://doi.org/10.1109/TPAMI.2005.57