Gabor-based kernel PCA for palmprint recognition

Ekinci M., Aykut M.

ELECTRONICS LETTERS, cilt.43, sa.20, ss.1077-1079, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 43 Sayı: 20
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1049/el:20071688
  • Dergi Adı: ELECTRONICS LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1077-1079
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

A novel Gabor-based kernel principal component analysis (PCA) method by integrating the Gabor wavelet representation of palm images and the kernel PCA method for palmprint recognition is proposed. The feasibility of the proposed method has been successfully tested on two different public data sets from the PolyU palmprint databases, for which the samples were collected in two different sessions.