Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32142
Title: MonogenicCode : a novel fast feature coding algorithm with applications to finger-knuckle-print recognition
Authors: Zhang, L 
Zhang, L 
Zhang, D 
Keywords: Biometrics
Finger-knuckle-print
Monogenic signal
Issue Date: 2010
Source: Emerging techniques and challenges for hand-based biometrics, ETCHB 2010, 2010, 5559286 How to cite?
Abstract: Biometrics based personal authentication is an effective method for recognizing a person's identity. Recently, it is found that the finger-knuckle-print (FKP), which refers to the inherent skin patterns of the outer surface around the phalangeal joint of one's finger, can serve as a distinctive biometric identifier. In this paper, a novel feature extraction and coding method, namely MonogenicCode, is presented based on the monogenic signal theory, and is applied to FKP recognition. For each image pixel, the associated MonogenicCode is a 3-bits vector obtained by binarizing the monogenic signal at this position, and it can reflect the local phase and orientation information at that position. Experiments conducted on our established FKP database indicate that this new method achieves competitive verification accuracy with state-of-the-art methods, while it needs the least time for feature extraction, making it the best choice for real-time applications.
Description: 1st International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010, Istanbul, 22-22 August 2010
URI: http://hdl.handle.net/10397/32142
ISBN: 9781424470655
DOI: 10.1109/ETCHB.2010.5559286
Appears in Collections:Conference Paper

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