Abstract

We have demonstrated a personal identification system that is based on near-infrared finger vein patterns. Finger vein patterns of 678 volunteers are acquired by transmitting near-infrared light through a finger and capturing the image with a CCD camera. These vein patterns are enhanced by a background-reduction filter. The similarity between two patterns is then quantified by use of the normalized maximum of the cross correlation of the two images after correction of the tilt angle. The enhanced finger vein pattern enabled 678 persons to be successfully identified.

© 2002 Optical Society of America

Finger vein verification system based on sparse representation

Yang Xin, Zhi Liu, Haixia Zhang, and Hong Zhang
Appl. Opt. 51(25) 6252-6258 (2012)

3D finger vein biometric authentication with photoacoustic tomography

Ye Zhan, Aditya Singh Rathore, Giovanni Milione, Yuehang Wang, Wenhan Zheng, Wenyao Xu, and Jun Xia
Appl. Opt. 59(28) 8751-8758 (2020)

Efficient descriptor of histogram of salient edge orientation map for finger vein recognition

Yu Lu, Sook Yoon, Shan Juan Xie, Jucheng Yang, Zhihui Wang, and Dong Sun Park
Appl. Opt. 53(20) 4585-4593 (2014)

Innovative algorithm to evaluate the capabilities of visual, near infrared, and infrared technologies for the detection of veins for intravenous cannulation

Maryam Asrar, Amin Al-Habaibeh, and Mohammed Houda
Appl. Opt. 55(34) D67-D75 (2016)

Optical security system for the protection of personal identification information

Yang-Hoi Doh, Jong-Soo Yoon, Kyung-Hyun Choi, and Mohammad S. Alam
Appl. Opt. 44(5) 742-750 (2005)