title: Nonintrusive Finger-Vein Recognition System Using NIR Image Sensor and Accuracy Analyses According to Various Factors.
abstract: Biometrics is a technology that enables an individual person to be identified based on human physiological and behavioral characteristics. Among biometrics technologies, face recognition has been widely used because of its advantages in terms of convenience and non-contact operation. However, its performance is affected by factors such as variation in the illumination, facial expression, and head pose. Therefore, fingerprint and iris recognitions are preferred alternatives. However, the performance of the former can be adversely affected by the skin condition, including scarring and dryness. In addition, the latter has the disadvantages of high cost, large system size, and inconvenience to the user, who has to align their eyes with the iris camera. In an attempt to overcome these problems, finger-vein recognition has been vigorously researched, but an analysis of its accuracies according to various factors has not received much attention. Therefore, we propose a nonintrusive finger-vein recognition system using a near infrared (NIR) image sensor and analyze its accuracies considering various factors. The experimental results obtained with three databases showed that our system can be operated in real applications with high accuracy; and the dissimilarity of the finger-veins of different people is larger than that of the finger types and hands.
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. phamdanhtuyen@gmail.com.
authors.forename: Tuyen Danh
authors.initials: TD
authors.lastname: Pham
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. fdsarew@dongguk.edu.
authors.forename: Young Ho
authors.initials: YH
authors.lastname: Park
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. nguyentiendat@dongguk.edu.
authors.forename: Dat Tien
authors.initials: DT
authors.lastname: Nguyen
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. sbaru07@dgu.edu.
authors.forename: Seung Yong
authors.initials: SY
authors.lastname: Kwon
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. parkgr@dongguk.edu.
authors.forename: Kang Ryoung
authors.initials: KR
authors.lastname: Park
mesh_terms: D005385:Fingers / Q000098:blood supply*; D006801:Humans; D019265:Spectroscopy, Near-Infrared / Q000295:instrumentation*; D014680:Veins
keywords: misalignment of finger-vein image; multiple images for enrollment; nonintrusive finger-vein capturing device using NIR image sensor; score-level fusion