Abstract
In order to overcome the impacts of image rotation on the accuracy of the finger-vein identification system,in the image pre-processing module,a new rotation approach based on the fingertip position to correct the target region was presented in this paper.The other part of the proposed system consists of an improved feature extraction module using direction templates and local dynamic threshold segmentation and a classification module using a Modified Hausdorff Distance(MHD).The experimental results show that it achieves a high recognition rate of 97.25%,and the Equal Error Rate(EER) is 0.75% when the drift angle among the images of the same finger is less than 20 degrees.What is more,the whole process took only 161.694 9 ms in VC + +6.0,which meant that the system had a superior real-time performance.The proposed system also has certain practical significance for developing finger-vein identification products.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
