JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2012, Vol. 42 ›› Issue (3): 6-12.

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Study of region of interest extraction from finger-vein images

YANG Jin-feng, ZHANG Hai-jin   

  1. Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
  • Received:2011-11-09 Online:2012-06-20 Published:2011-11-09

Abstract:

In order to avoid the impact to the region of interest (ROI) extracted results by random movements of finger when finger-vein images are collected, an approach for locating and extracting the region of interest from finger-vein image was studied. First, the random variations of the finger’s positions were corrected by computing its profile’s primary direction and inter-phalangeal joint’s position, and the ROI was roughly found. Then, an iteration method was applied to obtain the accurate extraction of ROI. The experimental results on a small database showed that the clustering property of ROI extracted better results. This method could extract similar ROIs from fingervein images of a finger, even if its posture is changed.

Key words:  finger-vein image, finger profile, finger joint localization, region of interest

[1] KONG Chao1,2, ZHANG Huaxiang1,2*, LIU Li1,2. A semi-supervised image retrieval algorithm based onfeature fusion of the region of interest [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(3): 22-28.
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