A Palmprint Recognition Based on Collaborative Representation
| Autor: | Cheng Yi Wang, Xiu Mei Guo, Lin Mei Wan |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Ideal (set theory)
business.industry Representation (systemics) Pattern recognition General Medicine Sparse approximation Machine learning computer.software_genre Computer Science::Computer Vision and Pattern Recognition Pattern recognition (psychology) Artificial intelligence business computer Mathematics |
| Zdroj: | Applied Mechanics and Materials. :1317-1322 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.457-458.1317 |
| Popis: | As a recently proposed technique, sparse representation (SR) has been widely used for pattern recognition. Sparse representation emphasizes the coefficient sparsity and ignores the importance of the collaboration between classes. In this paper, collaborative representation is introduced for palmprint recognition, and the inter-class collaboration is employed to estimate the representation coefficient with regularized least square method. The algorithm based on collaborative representation was evaluated on the Hong Kong PolyU (v2) palmprint database and ideal recognition performance was achieved. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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