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  1. University of Computer Studies, Yangon
  2. Conferences

Finger Vein Recognition based on Histogram of Oriented Gradients (HOG)

http://hdl.handle.net/20.500.12678/0000004886
http://hdl.handle.net/20.500.12678/0000004886
a30ebdea-5f64-4d7b-aa0c-f0de9e210804
af522cdf-7a03-44b9-a72f-c2c24b601431
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proceeding_total-pages-300-305.pdf proceeding_total-pages-300-305.pdf (3278 Kb)
Publication type
Article
Upload type
Publication
Title
Title Finger Vein Recognition based on Histogram of Oriented Gradients (HOG)
Language en
Publication date 2017-02-16
Authors
Htwe, Khin Sabai
Aye, Nyein
Description
In this paper, a Region of Interest (ROI)extraction method is proposed based on labeling veinimages using morphological processing. Firstly,finger vein images are segmented to remove theunwanted background or the shape of the device.Secondly, the images are oriented to correct to solvethe finger displacement’s problem. Thirdly, ROIlocalization method is used to accurately extract theregion of vein vessels. Finally, Histogram of OrientedGradient (HOG) features are extracted to recognizethat person is the genuine or imposter. Segmentedfinger vein and calculated orientation can supporteach other to produce higher accuracy in localizingROIs. In addition, a simple feature differencingmethod is proposed to reduce the calculation time formatching.
Keywords
finger vein, orientation correction, HOG features, ROI localization, segmentation, edge operator
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/785
Journal articles
Fifteenth International Conference on Computer Applications(ICCA 2017)
Conference papers
Books/reports/chapters
Thesis/dissertations
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