A Threshold Image Method for Finger-Vein Segmentation

Tong Liu; Jian Bin Xie; Huan Zhang Lu; Wei Yan; Pei Qin Li

doi:10.4028/www.scientific.net/AMM.263-266.2439

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266A Threshold Image Method for Finger-Vein...

A Threshold Image Method for Finger-Vein Segmentation

Abstract:

Image segmentation is an important processing step for finger-vein identification technique. But it’s difficult to extract precise details because of the irregular noise and shades around finger-vein. In this paper, a threshold image method is proposed for finger-vein segmentation. The new method computes thresholds for every pixel, so every pixel has a best threshold to get good segmentation. In order to compute the thresholds robustly and rapidly, we develop an optimal OTSU method. Firstly, the pixels with larger brightness than mean brightness are set to background directly. Then, the brightness is confined in a small region when computing threshold by using an optimal OTSU method. The experiments show that the proposed method can obtain good segmentation of finger vein images while costing small time consuming.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2439-2442

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2439

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Online since:

December 2012

Authors:

Tong Liu, Jian Bin Xie, Huan Zhang Lu, Wei Yan, Pei Qin Li

Keywords:

Finger-Vein, Image Segmentation, Otsu

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