Abstract
In this paper, a face recognition system based on Discrete Tchebichef-Krawtchouk Transform DTKT and Support Vector Machines SVMs is proposed. The objective of this paper is to present the following: (1) the mathematical and theoretical frameworks for the definition of the DTKT including transform equations that need to be addressed. (2) the DTKT features used in the classification of faces. (3) results of empirical tests that compare the representational capabilities of this transform with other types of discrete transforms such as Discrete Tchebichef transform DTT, discrete Krawtchouk Transform DKT, and Discrete Cosine transform DCT. The system is tested on a large number of faces collected from ORL and Yale face databases. Empirical results show that the proposed transform gives very good overall accuracy under clean and noisy conditions.
| Original language | English |
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| Title of host publication | Proceedings - 2012 IEEE International Symposium on Multimedia, ISM 2012 |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 120-127 |
| Number of pages | 8 |
| ISBN (Print) | 9780769548753 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | IEEE International Symposium on Multimedia 2012 - Irvine, United States of America Duration: 10 Dec 2012 → 12 Dec 2012 Conference number: 14th https://ieeexplore.ieee.org/xpl/conhome/6424013/proceeding (Proceedings) |
Conference
| Conference | IEEE International Symposium on Multimedia 2012 |
|---|---|
| Abbreviated title | ISM 2012 |
| Country/Territory | United States of America |
| City | Irvine |
| Period | 10/12/12 → 12/12/12 |
| Internet address |
Keywords
- Discrete cosine transform
- Face recognition
- Krawtchouk moments
- Orthogonal polynomials
- Support Vector Machines
- Tchebichef moments