Online Touchless Palmprint Registration System in a Dynamic Environment

dc.contributor.author	Balwant, Manoj Kumar
dc.contributor.author	Agarwal, Arun
dc.contributor.author	Rao, C. R.
dc.date.accessioned	2022-03-27T05:59:06Z
dc.date.available	2022-03-27T05:59:06Z
dc.date.issued	2015-01-01
dc.description.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.
dc.identifier.citation	Procedia Computer Science. v.54
dc.identifier.issn	18770509
dc.identifier.uri	10.1016/j.procs.2015.06.094
dc.identifier.uri	https://www.sciencedirect.com/science/article/abs/pii/S1877050915014180
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/9012
dc.subject	Palmprint
dc.subject	Region of Interest (ROI)
dc.subject	Skinlikelihood
dc.subject	Touchless
dc.subject	Valley points
dc.title	Online Touchless Palmprint Registration System in a Dynamic Environment
dc.type	Conference Proceeding. Conference Paper
dspace.entity.type

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