DOI QR코드

DOI QR Code

Non-contact Palmprint Attendance System on PC Platform

  • Wu, Yuxin (School of Software and Microelectronics, Northwestern Polytechnical University) ;
  • Leng, Lu (School of Software, Nanchang Hangkong University) ;
  • Mao, Huapeng (Chengdu BIIDTE Technology Co., Ltd.)
  • 투고 : 2018.09.17
  • 심사 : 2018.09.25
  • 발행 : 2018.09.30

초록

In order to overcome the problems of contact palmprint recognition, a non-contact palmprint recognition system is developed on personal computer (PC) platform. Three methods, namely "double-line-single-point" (DLSP), "double-assistant-crosshair" (DAC) and "none-assistant-graphic" (NAG), are implemented for the palmprint localization to solve the severe technical challenges, including the complex background, variant illuminations, uncontrollable locations and gestures of hands. In NAG, hand segmentation and the cropping of region of interest are performed without any assistant graphics. The convex hull contour of hand helps detect the outside contour of little finger as well as the valley bottom between thumb and index finger. The three methods of palmprint localization have good operating efficiency and can meet the performance requirements of real-time system. Furthermore, an attendance system on PC platform is designed and developed based on non-contact palmprint recognition.

키워드

참고문헌

  1. A. Kumar, "Toward more accurate matching of contactless palmprint images under less constrained environments," IEEE Transactions on Information Forensics and Security, vol. 14, no. 1, pp. 34-47, Jan. 2019. https://doi.org/10.1109/TIFS.2018.2837669
  2. Y. Xu, L. K. Fei, J. Wen, and D. Zhang, "Discriminative and robust competitive code for palmprint recognition," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 2, pp. 232-241, Feb. 2018. https://doi.org/10.1109/TSMC.2016.2597291
  3. W. Jia, B. Zhang, J. T. Lu, Y. H. Zhu, Y. Zhao, W. M. Zuo, and H. B. Ling, "Palmprint recognition based on complete direction representation," IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4483-4498, May. 2017. https://doi.org/10.1109/TIP.2017.2705424
  4. L. Zhang, L. D. Li, A. Q. Yang, Y. Shen, and M. Yang, "Towards contactless palmprint recognition: a novel device, a new benchmark, and a collaborative representation based identification approach," Pattern Recognition, vol. 69, pp. 199-212, Sept. 2017. https://doi.org/10.1016/j.patcog.2017.04.016
  5. L. Leng, M. Li, C. S. Kim, and X Bi, "Dual-source discrimination power analysis for multi-instance contactless palmprint recognition," Multimedia Tools and Applications, vol. 76, no. 1, pp. 333-354, Jan. 2017. https://doi.org/10.1007/s11042-015-3058-7
  6. L. Leng, M. Li, and A. B. J. Teoh, "Conjugate 2DPalmHash code for secure palm-print-vein verification," in Proceedings of the 6th International Congress on Image and Signal Processing, Hangzhou, pp. 1694-1699, Dec. 2013.
  7. J. Almaghtuf and F. Khelifi, "Self-geometric relationship filter for efficient SIFT key-points matching in full and partial palmprint recognition," IET Biometrics, vol. 7, no. 4, pp. 296-304, Jun. 2018. https://doi.org/10.1049/iet-bmt.2017.0148
  8. M. G. K. Ong, T. Connie, and A. B. J. Teoh, "Touchless palmprint biometrics: novel design and implementation," Image and Vision Computing, vol. 26, no. 12, pp. 1551-1560, Dec. 2008. https://doi.org/10.1016/j.imavis.2008.06.010
  9. Y. B. Tang, W. Bu, X. Q. Wu, and K. Q. Wang, "Key points localization methods of contactless palmprint recognition technology," Intelligent Computer and Applications, vol. 1, no. 1, pp. 62-65, Jun. 2011.
  10. L. Leng, G. Liu, M. Li, and M. K. Khan, "Logical conjunction of triple-perpendicular-directional translation residual for contactless palmprint preprocessing," in Proceedings of the 11th International Conference on Information Technology: New Generations, Las Vegas, pp. 523-528, Jun. 2014.
  11. M. Aykut and M. Ekinci, "Developing a contactless palmprint authentication system by introducing a novel ROI extraction method," Image and Vision Computing, vol. 40, pp. 65-74, Aug. 2015. https://doi.org/10.1016/j.imavis.2015.05.002
  12. H. Javidnia, A. Ungureanu, C. Costache, and P. Corcoran, "Palmprint as a smartphone biometric," in Proceedings of the IEEE International Conference on Consumer Electronics, Las Vegas, pp. 463-466, Mar. 2016.
  13. L. Leng, F. M. Gao, Q. Chen, and C. S. Kim, "Palmprint recognition system on mobile devices with double-line-single-point assistance," Personal and Ubiquitous Computing, vol. 22, no. 1, pp. 93-104, Jan. 2018. https://doi.org/10.1007/s00779-017-1105-2
  14. K. S. Cao and L. Leng, "Preprocessing based on double-point auxiliary for palmprint recognition on mobile devices," Journal of Optoelectronics.Lasser, vol. 29, no. 2, pp. 205-211, Feb. 2018.
  15. L. Leng, A. B. J. Teoh, and M. Li, "Simplified 2DPalmHash code for secure palmprint verification," Multimedia Tools and Applications, vol. 76, no. 6, pp. 8373-8398, Mar. 2017. https://doi.org/10.1007/s11042-016-3458-3