A Novel Ear Recognition Method Using Feature Combination | ||||
| Journal of the ACS Advances in Computer Science | ||||
| Article 1, Volume 2, Issue 1, 2008, Page 1-15 PDF (8.16 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asc.2008.148463 | ||||
 View on SCiNiTO | ||||
| Abstract | ||||
| In this paper we aim to improve the accuracy of the recognition rate in the ear recognition by developing theoretical framework for combining (serial or parallel) statistical feature extraction methods (PCA, LDA, and DCT). Experimental comparisons of the combining methods demonstrate that the combination methods outperform other single feature extraction methods. | ||||
| Keywords | ||||
| Principle component analysis (PCA); linear discriminant analysis (LDA); discrete cosine transform (DCT); Combining features | ||||
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