Are infrared images reliable for palmprint based personal identification systems?

Meraoumia, Abdallah, Chitroub, Salim and Bouridane, Ahmed (2013) Are infrared images reliable for palmprint based personal identification systems? In: SIECPC (2013 Saudi International Electronics, Communications and Photonics Conference), 27th - 30th April 2013, Riyadh, Saudi Arabia.

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Several studies for palmprint-based person identification have focused on the use of palmprint images captured in the visible part of the spectrum. However, to a possible improvement of the existing palmprint systems, the proposed work concerned with the use of infrared palmprint images for the palmprint identification system. For that, a comparison of infrared palmprint images versus gray level and color image is given. At the features-extraction stage the features are generated by the method of Principal Component Analysis (PCA). This feature-extraction technique has been widely used for pattern recognition, as well as in the field of biometrics. The proposed scheme is tested and evaluated using PolyU multispectral palmprint database of 400 users. Our experimental results show that the infrared spectrum achieves the best result. Also, color image present three spectrums, for that, we propose a score level and image level fusion schemes to integrate these colors information.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Biometrics; Data fusion; identification; Infrared image; Palmprint; Principal component analysis
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 16 Jan 2015 14:31
Last Modified: 13 Oct 2019 00:33

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