A New Method for Palmprint Identification

Xu Liang Qin; Qin Ge Wu; Zhen Yu Han

doi:10.4028/www.scientific.net/AMR.433-440.3262

Paper Titles

Research on DC-Side Voltage Control of Active Power Filter
p.3241

The Image Process Technology in Fingerprint Identification
p.3247

The Development and Realization of Exam System for VFP Language Course
p.3252

New VDCOL Control Strategy for Voltage Stability in Receiving-End Power Grid of DC System
p.3256

A New Method for Palmprint Identification
p.3262

The Research and Implementation of KNX Communication Kernel Based on ATMega32
p.3269

The Enterprise Performance Management System for Mining Enterprises
p.3276

The System Devise for Transmission of Multiplexed Testing Signals Using Spread Spectrum Technology Based on DSP
p.3284

Design of Basis Weight Instrument Based on Wireless Transmission Technology
p.3288

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440A New Method for Palmprint Identification

A New Method for Palmprint Identification

Abstract:

This paper proposes an efficient method for personnel identification which is based on Triangular Points of human hands and Wavelets Packet Transformation. In the stage of preprocessing, depending on position of the triangular points, a unique method to divide the Region of Interest (ROI) is proposed; at the same time, the distances among these points constitute an eigenvector which is the first feature of the palm. In the next stage, another palmprint feature is extracted by the Wavelets Packet Transformation. The two features are used as indexes to the palmprint templates in the database and the searching process for the best matching is conducted by a layered fashion. The experimental results illustrate the effectiveness of this method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

3262-3268

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.3262

Citation:

Cite this paper

Online since:

January 2012

Authors:

Xu Liang Qin, Qin Ge Wu, Zhen Yu Han

Keywords:

Palmprint Identification, Triangular Points, Wavelets Packet Transformation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Xiangqian Wu, Zhang D, Kuanquan Wang. Palmprint Recognition, science press of Beijing, (2006).

Google Scholar

[2] Zhang L, Zhang D. Characterization of Palmprint by Wavelet Signatures via Directional Context Modeling. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, (2004).

DOI: 10.1109/tsmcb.2004.824521

Google Scholar

[3] Han C, Chen H, et al. Personal Verification using palm-print features. Pattern Recognition, (2003).

Google Scholar

[4] Kong W, Zhang D. Feature-level fusion for effective palmprint authentication /Proceedings of the International Conference on Biometric Authentication, Lecture Notes in Computer Science. Germany: Springer, (2004).

DOI: 10.1007/978-3-540-25948-0_103

Google Scholar

[5] Kong W, Zhang D, Kame M. Palmprint identification using feature-level fusion. Pattern Recognition, (2006).

Google Scholar

[6] Wenxin Li, Zhang D and Zhuoqun Xu. Palmprint identification by Fourie Transform. International Journal of Pattern Recognition and Artificial Intelligence. Vol. 16, No. 4 (2002) 417-432.

DOI: 10.1142/s0218001402001757

Google Scholar

[7] El Sayed Mostafa Saad and Mohamed Ibrahim Eladawy. Person identification using palmprint. 25th National Radio Science Conference(NRSC2008).

DOI: 10.1109/nrsc.2008.4542320

Google Scholar