Robust Finger Vein ROI Localization Based on Flexible Segmentation

Collection with item attached
2013
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/484378.do
DOI
10.3390/s131114339
Title
Robust Finger Vein ROI Localization Based on Flexible Segmentation
Description
This work is supported by the State Scholarship Fund organized by theChina Scholarship Council (CSC). This research was supported by BasicScience Research Program through the National Research Foundation ofKorea (NRF) funded by the Ministry of Education (2009-0077772).
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.
provenance
Made available in Cube on 2018-09-28T15:12:26Z (GMT). No. of bitstreams: 0
language
English
author
Lu, Yu
Xie, Shan Juan
Yoon, Sook
Yang, Jucheng
Park, Dong Sun
accessioned
2018-09-28T15:12:26Z
available
2018-09-28T15:12:26Z
issued
2013
citation
SENSORS(13): 11
issn
1424-8220
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/484378.do
Funder
교육과학기술부
Funding Program
일반연구자지원
Project ID
1345145993
Jurisdiction
Rep.of Korea
Project Name
Study on the multi content-based watermaking system robust to various attacks
rights
openAccess
subject
finger vein
ROI localization
edge operator
segmentation
orientationcorrection
type
article


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