Sensors 2013, 13(11), 14339-14366; doi:10.3390/s131114339

Robust Finger Vein ROI Localization Based on Flexible Segmentation

1email, 2email, 3email, 4email and 1,5,* email
Received: 30 August 2013; in revised form: 15 October 2013 / Accepted: 17 October 2013 / Published: 24 October 2013
(This article belongs to the Section Physical Sensors)
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Abstract: Finger veins have been proved to be an effective biometric for personal identification in the recent years. However, finger vein images are easily affected by influences such as image translation, orientation, scale, scattering, finger structure, complicated background, uneven illumination, and collection posture. All these factors may contribute to inaccurate region of interest (ROI) definition, and so degrade the performance of finger vein identification system. To improve this problem, in this paper, we propose a finger vein ROI localization method that has high effectiveness and robustness against the above factors. The proposed method consists of a set of steps to localize ROIs accurately, namely segmentation, orientation correction, and ROI detection. Accurate finger region segmentation and correct calculated orientation can support each other to produce higher accuracy in localizing ROIs. Extensive experiments have been performed on the finger vein image database, MMCBNU_6000, to verify the robustness of the proposed method. The proposed method shows the segmentation accuracy of 100%. Furthermore, the average processing time of the proposed method is 22 ms for an acquired image, which satisfies the criterion of a real-time finger vein identification system.
Keywords: finger vein; ROI localization; edge operator; segmentation; orientation correction
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Lu, Y.; Xie, S.J.; Yoon, S.; Yang, J.; Park, D.S. Robust Finger Vein ROI Localization Based on Flexible Segmentation. Sensors 2013, 13, 14339-14366.

AMA Style

Lu Y, Xie SJ, Yoon S, Yang J, Park DS. Robust Finger Vein ROI Localization Based on Flexible Segmentation. Sensors. 2013; 13(11):14339-14366.

Chicago/Turabian Style

Lu, Yu; Xie, Shan J.; Yoon, Sook; Yang, Jucheng; Park, Dong S. 2013. "Robust Finger Vein ROI Localization Based on Flexible Segmentation." Sensors 13, no. 11: 14339-14366.

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