Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8222
Title: Simplified Gabor wavelets for human face recognition
Authors: Choi, WP
Tse, SH
Wong, KW
Lam, KM 
Keywords: Feature extraction
Gabor wavelets
Simplified Gabor wavelets
Issue Date: 2008
Publisher: Elsevier
Source: Pattern recognition, 2008, v. 41, no. 3, p. 1186-1199 How to cite?
Journal: Pattern recognition 
Abstract: Gabor wavelets (GWs) are commonly used for extracting local features for various applications such as object detection, recognition and tracking. However, extracting Gabor features is computationally intensive, so the features are impractical for real-time applications. In this paper, we propose a simplified version of Gabor wavelets (SGWs) and an efficient algorithm for extracting the features based on an integral image. We evaluate the performance of the SGW features for face recognition. Experimental results show that using SGWs can achieve a performance level similar to using GWs, while the runtime for feature extraction using SGWs is, at most, 4.39 times faster than that of GWs implemented by using the fast Fourier transform (FFT).
URI: http://hdl.handle.net/10397/8222
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2007.07.025
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

60
Last Week
0
Last month
0
Citations as of Sep 8, 2017

WEB OF SCIENCETM
Citations

51
Last Week
0
Last month
2
Citations as of Sep 14, 2017

Page view(s)

41
Last Week
2
Last month
Checked on Sep 17, 2017

Google ScholarTM

Check

Altmetric



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