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Improved PCA & LDA-Based PersonalIdentification Method
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kiattisin, Supaporn Nadee, Chokemongkon |
| Copyright Year | 2008 |
| Abstract | Since PCA-Based Teeth-Image Personal Identification Method [3] and LDA-Based Teeth-Image Persona Identification Method [2] are not robust against reflection and orientation, registered persons in the database is rejected around 10%. This paper proposes a method to improve the PCA & LDA based teeth-image personal identification method. In this method, the teeth image failed from the matching in the PCA & LDA based system is reconsidered by feeding back the image to eliminate the reflection and the rotation problems. The enhanced teeth image is fed back to PCA & LDA process in order to rescue misclassified teeth-image. In the experiments, 500 teeth images are tested with 200-teeth database. The results revealed that of the 10% errors caused by the two problems, 5% are correctly identified because of the proposed method. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://eprints.utcc.ac.th/1411/1/1411fulltext.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
