A performance evaluation of filter design and coding schemes for palmprint recognition

Feng Yue, Wangmeng Zuo, Kuanquan Wang, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

37 Citations (Scopus)


Palmprint recognition, as one of the most promising biometrics, has received considerable recent biometric research interest. Among various palmprint recognition techniques, coding based methods have been very successful since of its simplicity, high precision, small size of feature and rapidness for both feature extraction and matching. Several filters, such as Gabor and Gaussian, and coding schemes, such as competitive and ordinal measure, have been proposed for palmprint verification and identification. In this paper, we evaluate three filters, Gabor, Gaussian, and the second derivative of Gaussian filter, and two coding schemes, competitive code and ordinal measure on PolyU palmprint database. Results of verification experiment show that Gabor filter and competitive coding scheme is superior to other methods.
Original languageEnglish
Title of host publication2008 19th International Conference on Pattern Recognition, ICPR 2008
Publication statusPublished - 1 Dec 2008
Event2008 19th International Conference on Pattern Recognition, ICPR 2008 - Tampa, FL, United States
Duration: 8 Dec 200811 Dec 2008


Conference2008 19th International Conference on Pattern Recognition, ICPR 2008
Country/TerritoryUnited States
CityTampa, FL

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this