Abstract

This paper proposes a new approach to palmprint verification based on the gradient, in which a palm image is considered to be a three-dimensional terrain. Principal lines and wrinkles make deep and shallow valleys on a palm landscape. Then the steepest slope direction in each local area is first computed using the Kirsch operator, after which an orientation map is created that represents the dominant slope direction of each pixel. In this study, three orientation maps were made with different scales to represent local and global gradient information. Next, feature matching based on pixel-unit comparison was performed. The experimental results showed that the proposed method is superior to several state-of-the-art methods. In addition, the verification could be greatly improved by fusing orientation maps with different scales.

© 2011 Optical Society of Korea

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)

3D palmprint and hand imaging system based on full-field composite color sinusoidal fringe projection technique

Zonghua Zhang, Shujun Huang, Yongjia Xu, Chao Chen, Yan Zhao, Nan Gao, and Yanjun Xiao
Appl. Opt. 52(25) 6138-6145 (2013)

Biometric verification with correlation filters

B. V. K. Vijaya Kumar, Marios Savvides, Chunyan Xie, Krithika Venkataramani, Jason Thornton, and Abhijit Mahalanobis
Appl. Opt. 43(2) 391-402 (2004)

Fringe-orientation estimation by use of a Gaussian gradient filter and neighboring-direction averaging

Xiang Zhou, John P. Baird, and John F. Arnold
Appl. Opt. 38(5) 795-804 (1999)

Cancelable face verification using optical encryption and authentication

Motahareh Taheri, Saeed Mozaffari, and Parviz Keshavarzi
J. Opt. Soc. Am. A 32(10) 1772-1779 (2015)