文献类型：期刊文献

英文题名：Gender Classification Based on Geometry Features of Palm Image

作者：Wu, Ming[1];Yuan, Yubo[1]

机构：[1]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份：2014

外文期刊名：SCIENTIFIC WORLD JOURNAL

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000335756200001)】；

基金：The authors would like to offer their sincere thanks to Jiaxiang Gao and Han Zhang at East China University of Science and Technology for their hard work in organizing the palm image database. This work is supported by National College Student's Innovation Projects of China (no. 131025151).

语种：英文

摘要：This paper presents a novel gender classification method based on geometry features of palm image which is simple, fast, and easy to handle. This gender classification method based on geometry features comprises two main attributes. The first one is feature extraction by image processing. The other one is classification system with polynomial smooth support vector machine (PSSVM). A total of 180 palm images were collected from 30 persons to verify the validity of the proposed gender classification approach and the results are satisfactory with classification rate over 85%. Experimental results demonstrate that our proposed approach is feasible and effective in gender recognition.