Regular Articles

Competitive region orientation code for palmprint verification and identification

[+] Author Affiliations
Wenliang Tang

East China Jiaotong University, School of Software, Nanchang 330013, China

J. Electron. Imaging. 24(6), 063019 (Dec 22, 2015). doi:10.1117/1.JEI.24.6.063019
History: Received August 21, 2015; Accepted November 25, 2015
Text Size: A A A

Abstract.  Orientation features of the palmprint have been widely investigated in coding-based palmprint-recognition methods. Conventional orientation-based coding methods usually used discrete filters to extract the orientation feature of palmprint. However, in real operations, the orientations of the filter usually are not consistent with the lines of the palmprint. We thus propose a competitive region orientation-based coding method. Furthermore, an effective weighted balance scheme is proposed to improve the accuracy of the extracted region orientation. Compared with conventional methods, the region orientation of the palmprint extracted using the proposed method can precisely and robustly describe the orientation feature of the palmprint. Extensive experiments on the baseline PolyU and multispectral palmprint databases are performed and the results show that the proposed method achieves a promising performance in comparison to conventional state-of-the-art orientation-based coding methods in both palmprint verification and identification.

Figures in this Article
© 2015 SPIE and IS&T

Citation

Wenliang Tang
"Competitive region orientation code for palmprint verification and identification", J. Electron. Imaging. 24(6), 063019 (Dec 22, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.6.063019


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Use of AFIS for linking scenes of crime. Forensic Sci Int 2016;262():e25-7.
Advertisement


 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.