Name
Abstract | ||
|---|---|---|
These days surveillance system has been developed into intelligent system that can judge and handle using human recognition technology that can recognize the people. In this paper, LDA-based face recognition algorithm for the intelligent surveillance system is proposed. While the existing face recognition algorithm uses the short distance images for training images but the proposed algorithm uses face images by distance extracted from 1m to 5m for training images. In the proposed LDA-based long distance face recognition algorithm, bilinear interpolation uses for the normalization and Euclidean Distance measure method is used for similarity measure. As a result of experiment, it is confirmed that the proposed algorithm showed improved face recognition performance 6.1% in short distance and 31% in long distance. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IMIS.2013.50 | IMIS |
Keywords | Field | DocType |
face recognition algorithm,euclidean distance measure method,linear discriminant analysis (lda),bilinear interpolation,long distance,image interpolation,face recognition,existing face recognition algorithm,intelligent surveillance system,interpolation,face image,face recognition performance,computational geometry,long distance face recognition,training image,human recognition technology,surveillance,proposed lda-based long distance,linear discriminant analysis,proposed algorithm,pca,lda-based face recognition algorithm,similarity measure,lda-based face recognition,lda-based long distance face recognition algorithm,principal component analysis,normalization distance measure method,multiple distance image,convolution,vectors,face | Facial recognition system,Computer vision,Normalization (statistics),Eigenface,Pattern recognition,Similarity measure,Computer science,Interpolation,Computational geometry,Artificial intelligence,Image scaling,Bilinear interpolation | Conference |
Citations | PageRank | References |
2 | 0.42 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hae-Min Moon | 1 | 37 | 7.49 |
| Sung Bum Pan | 2 | 162 | 36.88 |