Finger vein ROI extraction based on robust edge detection and flexible sliding window

• Impact Factor:1.261
• DOI number:10.1142/s0218001418560025
• Affiliation of Author(s):西南交通大学
• Journal:Dongming Tang, Zhangyou Chen
• Key Words:Biometric recognitionfinger vein recognitionregion of interestfinger vein image
• Abstract:An accurate region of interest extraction (ROI) plays an important role for both finger vein recognition systems and finger vein-based cryptography systems. In order to localize the rectangle ROI accurately, the edges of the finger and a line in the finger joint region should be detected accurately as a reference position. Because most of the existing finger edge detection methods do not work well, a robust finger edge detection method is proposed in this paper. An inner line of the finger is first detected to divide the finger vein image by two parts, after that two edge detection templates and a series of technologies such as interpolation, fit, etc. are used to detect and fix the wrong edges of the finger. Furthermore, considering that the shapes of the brighter finger joint region are irregular, multiple sliding windows including rectangle, disk, diamond and ellipse are generated, respectively to detect the reference line of the finger joint. Finally, a contour similarity distance-based method is introduced to evaluate the performance of various sliding windows. The experimental results show that the proposed edge detection method can 100% successfully detect the edges of the fingers in our finger vein image database. And for various detection windows, the ellipse window is more suitable for the detection of the finger joint reference line. So, the proposed ROI extraction method for finger vein images has a better overall performance compared with the other methods.
• Co-author:Dongming Tang, Zhangyou Chen
• First Author:Mingwen Wang
• Indexed by:Academic papers
• Correspondence Author:Mingwen Wang
• Document Code:20173504079158
• Discipline:Engineering
• First-Level Discipline:Computer Science and Technology
• Volume:32
• Issue:4
• ISSN No.:0218-0014
• Translation or Not:no
• Date of Publication:2017-08-22