Online Touchless Palmprint Registration System in a Dynamic Environment

Abstract

In this paper we proposed a novel method to acquire the ROI (Region of interest) from touchless palmprint captured from a web camera in real time. A new algorithm is used to find the candidate key points of hand roughly and quickly. An improved method is used to capture maximum ROI using these key points along with finger width to get maximum ROI of the palm. The results show that approach is robust and efficient in color palmprint images which are acquired in different lighting conditions, cluttered background, different palm orientation and scaling effect.