Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30589
Title: Finger-knuckle-print : a new biometric identifier
Authors: Zhang, L 
Zhang, L 
Zhang, D 
Keywords: Biometrics
Finger-knuckle-print
Personal authentication
Issue Date: 2009
Publisher: IEEE Computer Society
Source: Proceedings - International Conference on Image Processing, ICIP, 2009, p. 1981-1984 How to cite?
Abstract: This paper presents a new biometric identifier, namely finger-knuckle-print (FKP), for personal identity authentication. First a specific data acquisition device is constructed to capture the FKP images, and then an efficient FKP recognition algorithm is presented to process the acquired data. The local convex direction map of the FKP image is extracted, based on which a coordinate system is defined to align the images and a region of interest (ROI) is cropped for feature extraction. A competitive coding scheme, which uses 2D Gabor filters to extract the image local orientation information, is employed to extract and represent the FKP features. When matching, the angular distance is used to measure the similarity between two competitive code maps. An FKP database was established to examine the performance of the proposed system, and the experimental results demonstrated the efficiency and effectiveness of this new biometric characteristic.
Description: 2009 IEEE International Conference on Image Processing, ICIP 2009, Cairo, 7-10 November 2009
URI: http://hdl.handle.net/10397/30589
ISBN: 9781424456543
ISSN: 1522-4880
DOI: 10.1109/ICIP.2009.5413734
Appears in Collections:Conference Paper

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