Commenced in January 2007
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Paper Count: 33122
Real-time ROI Acquisition for Unsupervised and Touch-less Palmprint
Authors: Yi Feng, Jingwen Li, Lei Huang, Changping Liu
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.Keywords: Palmprint recoginition, hand detection, touch-lesspalmprint, ROI localization.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1071722
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