کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
527361 | 869316 | 2008 | 9 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: 2D Gaborface representation method for face recognition with ensemble and multichannel model 2D Gaborface representation method for face recognition with ensemble and multichannel model](/preview/png/527361.png)
This paper proposes a scheme that is based on linear correlation criterion to select optimized Gabor filter bank. In addition, by using 2D Gaborface matrices rather than transformed 1D feature vectors, a novel Gaborface-based 2DPCA and (2D)2PCA classification method is introduced. Two kinds of strategies to use the bank of Gaborfaces are proposed: ensemble Gaborface representation (EGFR) and multichannel Gaborface representation (MGFR). The feasibility of our method is proved with the experimental results on the ORL, Yale and FERET databases. In particular, the MGFR-based (2D)2PCA method achieves 100% recognition accuracy for ORL database, and 98.89% accuracy for Yale database with five training samples per class, and 99.5% accuracy for FERET database.
Journal: Image and Vision Computing - Volume 26, Issue 6, 2 June 2008, Pages 820–828