Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43964
Title: Half-orientation extraction of palmprint features
Authors: Fei, L
Xu, Y
Zhang, D 
Keywords: Biometric
Half-gabor filter
Half-orientation representation
Palmprint recognition
Issue Date: 2016
Publisher: North-Holland
Source: Pattern recognition letters, 2016, v. 69, p. 35-41 How to cite?
Journal: Pattern recognition letters 
Abstract: Orientation features of the palmprint are usually used in palmprint recognition methods. Conventional orientation based methods are always based on an assumption that the line in a palmprint is straight and possesses only a single dominant orientation. However, a large number of "lines" in a palmprint are curves. The point in these curves usually has two dominant orientations. Moreover, it can be seen that there are numerous cross wrinkles in a palmprint. The cross point of any two cross wrinkles obviously has two different dominant orientations. In this paper, we proposed a simple and effective double half-orientation based method for feature extraction and recognition of the palmprint. In the method, a bank of "half-Gabor" filters are defined for the half-orientation extraction of a palmprint. Compared with the single dominant orientation, the double half-orientations can more precisely characterize the global orientation feature of a palmprint. Extensive experiments are carried out on three different kinds of palmprint databases and the results show that the proposed method achieves a promising performance in both palmprint verification and identification and outperforms other orientation feature based methods.
URI: http://hdl.handle.net/10397/43964
ISSN: 0167-8655
EISSN: 1872-7344
DOI: 10.1016/j.patrec.2015.10.003
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