Please use this identifier to cite or link to this item:
Type: Journal article
Title: A research of eyes location algorithm based on expanded Haar features and fast Hough Transformation
Author: Huang, X.
Feng, Z.
Dong, X.
Zhang, F.
Shi, P.
Citation: ICIC Express Letters, 2014; 8(2):333-339
Issue Date: 2014
ISSN: 1881-803X
Statement of
Huang, X, Feng, Z, Dong, X, Zhang, F and Shi, Peng
Abstract: Eyes location is an essential part of human computer interaction. The precise of eyes location decides the feasibility of interaction. In this paper, we expand the haar features by introducing a new type of characteristic rectangle which can distinguish the eyes and brow more efficiently. The edge of iris is detected and recovered during preprocessing procedure. By using the distance information, the radius of iris can be predicted and the calculation of Hough Transformation can be optimized. By comparing the two improved algorithms, the one which constrained the range of radius can balance the detection accuracy and calculation efficiency better. This improved algorithm has a good performance on eyes location by enhancing the calculation efficiency one order of magnitude.
Keywords: Edge extraction; expanding features; eyes location; Hough transformation
Rights: Copyright (c) Since 2007 ICIC International, All rights reserved.
Appears in Collections:Aurora harvest 3
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.