Show simple item record

dc.contributor.authorHong, D.
dc.contributor.authorLiu, Wan-Quan
dc.contributor.authorSu, J.
dc.contributor.authorPan, Z.
dc.contributor.authorWang, G.
dc.date.accessioned2017-01-30T11:05:10Z
dc.date.available2017-01-30T11:05:10Z
dc.date.created2015-10-29T04:09:29Z
dc.date.issued2015
dc.identifier.citationHong, D. and Liu, W. and Su, J. and Pan, Z. and Wang, G. 2015. A novel hierarchical approach for multispectral palmprint recognition. Neurocomputing. 151 (Part 1): pp. 511-521.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/8189
dc.identifier.doi10.1016/j.neucom.2014.09.013
dc.description.abstract

Palmprint is one important biometric feature with uniqueness, stability and high distinguishability, and its study has attracted much attention in the past decades. Although many palmprint-based recognition methods have been proposed and successfully applied for identity authentication, most of the previous researches usually only use the images captured in natural light. It is hard, if not impossible, for further improvement of recognition accuracy based on these palmprint images due to limitations of using the natural light. In order to obtain high recognition rate with more discriminative information, we propose to use multispectral palmprint instead of natural light palmprint in this paper, and develop a multispectral palmprint recognition method based on a hierarchical idea. First, we extract the Block Dominant Orientation Code (BDOC) as a rough feature, and the Block-based Histogram of Oriented Gradient (BHOG) as a fine feature. Second, a hierarchical recognition approach is proposed based on these two types of features. Technically, we fuse different features obtained from different bands in the proposed scheme in order to improve the recognition accuracy. Finally, experimental results show that the recognition accuracy of the proposed method is not only superior to previous high-performance methods based on the PolyU palmprint database with the natural light but also it can further improve the state of the art performance achieved by some approaches based on the PolyU multispectral palmprint database.

dc.publisherElsevier
dc.titleA novel hierarchical approach for multispectral palmprint recognition
dc.typeJournal Article
dcterms.source.volume151
dcterms.source.numberP1
dcterms.source.startPage511
dcterms.source.endPage521
dcterms.source.issn0925-2312
dcterms.source.titleNeurocomputing
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record