title: Contact-free palm-vein recognition based on local invariant features.
abstract: Contact-free palm-vein recognition is one of the most challenging and promising areas in hand biometrics. In view of the existing problems in contact-free palm-vein imaging, including projection transformation, uneven illumination and difficulty in extracting exact ROIs, this paper presents a novel recognition approach for contact-free palm-vein recognition that performs feature extraction and matching on all vein textures distributed over the palm surface, including finger veins and palm veins, to minimize the loss of feature information. First, a hierarchical enhancement algorithm, which combines a DOG filter and histogram equalization, is adopted to alleviate uneven illumination and to highlight vein textures. Second, RootSIFT, a more stable local invariant feature extraction method in comparison to SIFT, is adopted to overcome the projection transformation in contact-free mode. Subsequently, a novel hierarchical mismatching removal algorithm based on neighborhood searching and LBP histograms is adopted to improve the accuracy of feature matching. Finally, we rigorously evaluated the proposed approach using two different databases and obtained 0.996% and 3.112% Equal Error Rates (EERs), respectively, which demonstrate the effectiveness of the proposed approach.
authors.affiliation: College of Automation Science and Engineering, South China University of Technology, Guangzhou, China.
authors.forename: Wenxiong
authors.initials: W
authors.lastname: Kang
authors.affiliation: College of Automation Science and Engineering, South China University of Technology, Guangzhou, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Guangzhou Institute of Modern Industrial Technology, South China University of Technology, Guangzhou, China.
authors.forename: Qiuxia
authors.initials: Q
authors.lastname: Wu
authors.affiliation: College of Automation Science and Engineering, South China University of Technology, Guangzhou, China.
authors.forename: Xishun
authors.initials: X
authors.lastname: Yue
mesh_terms: D000465:Algorithms; D000818:Animals; D001699:Biometry / Q000379:methods*; D016208:Databases, Factual; D004285:Dogs; D005385:Fingers / Q000098:blood supply; D006225:Hand / Q000033:anatomy & histology / Q000098:blood supply*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008029:Lighting; D010363:Pattern Recognition, Automated / Q000379:methods*; D014680:Veins / Q000033:anatomy & histology*