Palmprint verification using SIFT majority voting
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Dosyalar
Tarih
2012
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer-Verlag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper we illustrate the implementation of a robust, real-time biometric system for identity verification based on palmprint images. The palmprint images are preprocessed to align the major axes of hand shapes and to extract the palm region. We extract features using Scale Invariant Feature Transform (SIFT). Classification of individual SIFT features is done through KNN. The class of the hand image is decided by a majority based voting among its classified SIFT features. We demonstrate on the CASIA and PolyU datasets that the proposed system achieves authentication accuracy comparable to other state of the art algorithms.
Açıklama
Anahtar Kelimeler
Biometric identification, KNN, Majority voting, Palmprint verification, SIFT, Biometrics, Information science, Anthropometry
Kaynak
Computer and Information Sciences II
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Abeysundera, H. P. & Eskil, M. T. (2012). Palmprint verification using SIFT majority voting. Paper presented at the Computer and Information Sciences II, 291-297. doi:10.1007/978-1-4471-2155-8_37