title: Sliding window-based region of interest extraction for finger vein images.
abstract: Region of Interest (ROI) extraction is a crucial step in an automatic finger vein recognition system. The aim of ROI extraction is to decide which part of the image is suitable for finger vein feature extraction. This paper proposes a finger vein ROI extraction method which is robust to finger displacement and rotation. First, we determine the middle line of the finger, which will be used to correct the image skew. Then, a sliding window is used to detect the phalangeal joints and further to ascertain the height of ROI. Last, for the corrective image with certain height, we will obtain the ROI by using the internal tangents of finger edges as the left and right boundary. The experimental results show that the proposed method can extract ROI more accurately and effectively compared with other methods, and thus improve the performance of finger vein identification system. Besides, to acquire the high quality finger vein image during the capture process, we propose eight criteria for finger vein capture from different aspects and these criteria should be helpful to some extent for finger vein capture.
authors.affiliation: School of Computer Science and Technology, Shandong University, Jinan 250101, China. yangluhi@163.com
authors.forename: Lu
authors.initials: L
authors.lastname: Yang
authors.forename: Gongping
authors.initials: G
authors.lastname: Yang
authors.forename: Yilong
authors.initials: Y
authors.lastname: Yin
authors.forename: Rongyang
authors.initials: R
authors.lastname: Xiao
mesh_terms: D000465:Algorithms; D005385:Fingers / Q000098:blood supply*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D014680:Veins / Q000033:anatomy & histology