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The Scientific World Journal
Volume 2014, Article ID 734564, 7 pages
Research Article

Gender Classification Based on Geometry Features of Palm Image

School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China

Received 11 April 2014; Accepted 14 April 2014; Published 29 April 2014

Academic Editor: Shan Zhao

Copyright © 2014 Ming Wu and Yubo Yuan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Aasma Aslam, Babar Hussain, Ahmet Enis Cetin, Arif Iqbal Umar, and Rashid Ansari, “Gender classification based on isolated facial features and foggy faces using jointly trained deep convolutional neural network,” Journal of Electronic Imaging, vol. 27, no. 05, pp. 1, 2018. View at Publisher · View at Google Scholar
  • Vivek Kanhangad, and Ankita Jain, “Gender classification in smartphones using gait information,” Expert Systems with Applications, vol. 93, pp. 257–266, 2018. View at Publisher · View at Google Scholar