Commenced in January 2007
Paper Count: 32131
Real-time ROI Acquisition for Unsupervised and Touch-less Palmprint
Abstract:In this paper we proposed a novel method to acquire the ROI (Region of interest) of unsupervised and touch-less palmprint captured from a web camera in real-time. We use Viola-Jones approach and skin model to get the target area in real time. Then an innovative course-to-fine approach to detect the key points on the hand is described. A new algorithm is used to find the candidate key points coarsely and quickly. In finely stage, we verify the hand key points with the shape context descriptor. To make the user much comfortable, it can process the hand image with different poses, even the hand is closed. Experiments show promising result by using the proposed method in various conditions.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1071722Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1595
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 Julien Doublet, Marinette Revenu and Olivier Lepetit, "Robust GrayScale Distribution Estimation for Contactless Palmprint Recognition," in IEEE Conference on Biometrics: Theory, Applications and Systems, Washington DC, 2007, pp.69-75.
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