title: An effective hand vein feature extraction method.
abstract: BACKGROUND
  As a new authentication method developed years ago, vein recognition technology features the unique advantage of bioassay.
  
  
  OBJECTIVE
  This paper studies the specific procedure for the extraction of hand back vein characteristics.
  
  
  METHODS
  There are different positions used in the collecting process, so that a suitable intravenous regional orientation method is put forward, allowing the positioning area to be the same for all hand positions. In addition, to eliminate the pseudo vein area, the valley regional shape extraction operator can be improved and combined with multiple segmentation algorithms. The images should be segmented step by step, making the vein texture to appear clear and accurate. Lastly, the segmented images should be filtered, eroded, and refined. This process helps to filter the most of the pseudo vein information.
  
  
  RESULTS
  Finally, a clear vein skeleton diagram is obtained, demonstrating the effectiveness of the algorithm.
  
  
  CONCLUSIONS
  This paper presents a hand back vein region location method. This makes it possible to rotate and correct the image by working out the inclination degree of contour at the side of hand back.
authors.forename: Haigang
authors.initials: H
authors.lastname: Li
authors.forename: Qian
authors.initials: Q
authors.lastname: Zhang
authors.forename: Chengdong
authors.initials: C
authors.lastname: Li
mesh_terms: D000465:Algorithms; D056667:Biometric Identification / Q000379:methods*; D006225:Hand / Q000098:blood supply*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D014680:Veins / Q000033:anatomy & histology*
keywords: Vein recognition; feature extraction; image processing; region segmentation