Journal
PATTERN RECOGNITION LETTERS
Volume 69, Issue -, Pages 35-41Publisher
ELSEVIER
DOI: 10.1016/j.patrec.2015.10.003
Keywords
Bioinetric; Palinprint recognition; Half-gabor filter; Half orientation representation
Categories
Funding
- National Natural Science Foundation of China [61370163, 61233011, 61332011, 61300032]
- Shenzhen Municipal Science and Technology Innovation Council [JCYJ20130329151843309, JCYJ12014090415463043436]
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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 palinprint. Compared with the single dominant orientation, the double half-orientations can more precisely characterize the global orientation feature of a pahnprint. Extensive experiments are carried out on three different kinds of palm print databases and the results show that the proposed method achieves a promising performance in both pahnprint verification and identification and outperforms other orientation feature based methods. (C) 2015 Elsevier B.V. All rights reserved.
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