T. Ojala, M. Pietikainen and T. Maenpaa, “Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns,” IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 24, No. 7, 2002, pp. 469-481. doi:10.1109/TPAMI.2002.1017623

has been cited by the following article:

• TITLE: Robust Palmprint Recognition Base on Touch-Less Color Palmprint Images Acquired

  AUTHORS: Haifeng Sang, Yueshi Ma, Jing Huang

  KEYWORDS: Robust Palmprint Recognition; Touch-Less; Skin-Color Thresholding; Local Binary Patterns (LBP); Chi Square Statistic

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.4 No.2, May 8, 2013

  ABSTRACT: In order to make the environment of palmprint recognition more flexible and improve the accuracy of touchless palmprint recognition. This paper proposes a robust, touchless, palmprint recognition system which is based on color palmprint images. This system uses skin-color thresholding and hand valley detection algorithm for extracting palmprint. Then, the local binary pattern (LBP) is applied to the palmprint in order to extract the palmprint features. Finally, chi square statistic is used for classification. The experimental results present the equal error rate of 3.7668% and correct recognition rate of 97.0142%. Therefore the results show that this approach is robust and efficient in color palmprint images which are acquired in lighting changes and cluttered background for touch-less palmprint recognition system.