کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
410694 | 679160 | 2011 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Combining local face image features for identity verification Combining local face image features for identity verification](/preview/png/410694.png)
With an aim of extracting robust facial features under pose variations, this paper presents two directional projections corresponding to extraction of vertical and horizontal local face image features. The matching scores computed from both horizontal and vertical features are subsequently fused at score level via an extreme learning machine that optimizes the total error rate for performance enhancement. In order to benchmark the performance, both the feature extraction and fusion results are compared with that of popular face recognition methods such as principal components analysis and linear discriminant analysis in terms of equal error rate and CPU time. Our empirical experiments using four data sets show encouraging results under considerable horizontal pose variations.
Journal: Neurocomputing - Volume 74, Issue 16, September 2011, Pages 2452–2463