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https://scholarhub.balamand.edu.lb/handle/uob/554| Title: | Face recognition using voting technique for the Gabor and LDP features | Authors: | Dagher, Issam Hassanieh, Jamal Younes, Ahmad |
Affiliations: | Department of Computer Engineering | Keywords: | Visual databases Face recognition Feature extraction Gabor filters Image matching |
Issue Date: | 2014 | Publisher: | IEEE | Part of: | The 2013 International Joint Conference on Neural Networks (IJCNN) | Start page: | 1 | End page: | 6 | Conference: | International Joint Conference on Neural Networks (IJCNN) (4-9 Aug. 2013 : Dallas, TX, USA) | Abstract: | Face recognition can be described by a sophisticated mathematical representation and matching procedures. In this paper, Local Derivative Pattern (LDP) descriptors along with the Gabor feature extraction technique were used to achieve highest percentage of recognition possible. A robust comparison method, the Chi Square Distance, was used as a matching algorithm. Four databases involving different image capturing conditions: positioning, illumination and expressions were used. The best results were obtained after applying a voting technique to the Gabor and the LDP features. |
URI: | https://scholarhub.balamand.edu.lb/handle/uob/554 | Ezproxy URL: | Link to full text | Type: | Conference Paper |
| Appears in Collections: | Department of Computer Engineering |
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