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Pregled bibliografske jedinice broj: 388863

Časopis

Autori: Pavešić, Nikola; Ribarić, Slobodan; Grad, Benjamin
Naslov: Finger-Based Personal Authentication: a Comparison of Feature-Extraction Methods Based on Principal Component Analysis, Most Discriminant Features and Regularised-Direct Linear Discriminant Analysis
Izvornik: IET Signal Processing (1751-9675) 3 (2009), 4; 269-281
Vrsta rada: članak
Ključne riječi: Biometrics; LDA; MDF; RD-LDA; Feature Extraction; Authentication; Finger
Sažetak:
In this paper, feature-extraction methods based on Principal Component Analysis (PCA), Most Discriminant Features (MDF), and Regularized-Direct Linear Discriminant Analysis (RD-LDA) are tested and compared in an experimental fingerbased personal authentication system. The system is multimodal and based on features extracted from eight regions of the hand: four fingerprints (the prints of the finger tips) and four digitprints (the prints of the fingers between the first and third phalanges). All of the regions are extracted from one-shot grey-level images of the palmar surface of four fingers of the right hand. The identification and verification experiments were conducted on a database consisting of 1840 finger images (184 people). The experiments showed that the best results were obtained with the RDLDA- based feature-extraction method − 99.98% correct identification for 920 tests and an Equal Error Rate (EER) of 0.01% for 64170 verification tests.
Projekt / tema: 036-0361935-1954
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
Puni text rada: 388863.Finger-based-system-revised.pdf
URL cjelovitog teksta:
Google Scholar: Finger-Based Personal Authentication: a Comparison of Feature-Extraction Methods Based on Principal Component Analysis, Most Discriminant Features and Regularised-Direct Linear Discriminant Analysis
Upisao u CROSBI: sribaric@fer.hr (sribaric@fer.hr), 10. Tra. 2009. u 12:26 sati



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