Open AccessEnhanced Region of Interest Extraction method for Finger Vein Images
Author(s) -
Hindrustum Shaaban
Publication year - 2021
Publication title -
artificial intelligence and robotics development
Language(s) - English
Resource type - Journals
ISSN - 2788-9696
DOI - 10.52098/airdj.20218
Subject(s) - region of interest , artificial intelligence , computer vision , computer science , oblique case , process (computing) , rotation (mathematics) , face (sociological concept) , pattern recognition (psychology) , social science , philosophy , linguistics , sociology , operating system
Extracting Region of Interest (ROI) is an important step for finger vein recognition system. The purpose of this process is to determine the part of the image that we need for extracting features. In this paper we present an ROI extraction method that overcome the problems of finger rotation and displacement. We first locate the finger midline to be used in correcting the oblique images. We then use a sliding window to determine the Proximal inter phalangeal joint and to further identify the ROI height. Finally, from the corrected image of a certain height, the ROI is obtained through the use of finger edges internal tangents as ROI boundaries. The results prove that our method in a more accurate and effective manner in comparison with the method of [1], and thus enhance the performance of the system.