Research of Palmprint Authentication Arithmetic Based on Smartphone

Author:

Zhang Xinman1,Jing Kunlei1,Yan Guoqi1,Xu Xuebin2,Gong Weiyong3

Affiliation:

1. School of Electronics and, Information Engineering, MOE Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China

2. Guangdong Xi'an Jiaotong University Academy, Xi'an Jiaotong University, Guangdong, China, Foshan, Guangdong

3. School of Electronics and Information Engineering, MOE Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China

Funder

Major Science and Technology Project of Guangdong Province

National Natural Science Foundation of China

Publisher

ACM Press

Reference14 articles.

1. Smith, A. 2011. Smartphone adoption and usage. Technical Report. Pew Research Center.

2. Zhang, J., Ou, Z., Liu, D. 2010. Palmprint verification system based on mobile device. J. Computer Engineering. 36, 4 (Feb. 2010), 164--168.

3. Yue, F., Zuo, W., Zhang, D. 2010. Survey of palmprint recognition algorithms. J. Acta Automatic Sinica. 36, 3 (Mar. 2010), 353--359.

4. Wang, L., Shen, Y. 2009. An algorithm based on the harris corner detector to identify the palmprint extraction. In Proceedings of the 9th International Conference on Electronic Measurement & Instruments Processing (Beijing, China, Aug 16--19, 2009). IEEE, New York, NY, 4--11.

5. Wang, Y. 2008. Research on key technologies and algorithms for palmprint recognition. Doctoral Thesis. UMI Order Number: UMI Order No. 10.7666/d.y1578483., Beijing Jiaotong University.

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