General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2012 Vol.4(4): 565-569 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.533

Line Extraction in Palmprint System

Fang Li, Maylor K. H. Leung, and Chan Sin Wai

Abstract—Today biometric-based systems have been widely used and tipped to replace the traditional methods and one of the emerging techniques is automatic palmprint authentication. To ensure that the matching process achieves an accurate result, the pre-processing of palmprint extraction plays an important role. A new line extraction technique using hysteresis thresholding is presented in this paper. It shows obvious improvement in line feature extraction and provides better base for further matching process.

Index Terms—Line extraction, palmprint, hysteresis thresholding.

Fang Li is with the School of computer engineering, Nanyang Technological University, Singapore (e-mail: asfli@ ntu.edu.sg).
Maylor K. H. Leung was with School of computer engineering, Nanyang Technological University, Singapore. He is now with Universiti Tunku Abdul Rahman (UTAR), Malaysia (e-mail: asmkleung@ntu.edu.sg).
Chan Sin Wai is working in Industrial Automation domain as a software engineer in Singapore (e-mail: Chan0102@ntu.edu.sg).

[PDF]

Cite: Fang Li, Maylor K. H. Leung, and Chan Sin Wai, "Line Extraction in Palmprint System," International Journal of Computer Theory and Engineering vol. 4, no. 4, pp.  565-569, 2012.


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