Ear Recognition Based on Gabor Features and KFDA
We propose an ear recognition system based on 2D ear images which includes three stages: ear enrollment, feature extraction, and ear recognition. Ear enrollment includes ear detection and ear normalization. The ear detection approach based on improved Adaboost algorithm detects the ear part under co...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/702076 |
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| _version_ | 1832552667783626752 |
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| author | Li Yuan Zhichun Mu |
| author_facet | Li Yuan Zhichun Mu |
| author_sort | Li Yuan |
| collection | DOAJ |
| description | We propose an ear recognition system based on 2D ear images which includes three stages: ear enrollment, feature extraction, and ear recognition. Ear enrollment includes ear detection and ear normalization. The ear detection approach based on improved Adaboost algorithm detects the ear part under complex background using two steps: offline cascaded classifier training and online ear detection. Then Active Shape Model is applied to segment the ear part and normalize all the ear images to the same size. For its eminent characteristics in spatial local feature extraction and orientation selection, Gabor filter based ear feature extraction is presented in this paper. Kernel Fisher Discriminant Analysis (KFDA) is then applied for dimension reduction of the high-dimensional Gabor features. Finally distance based classifier is applied for ear recognition. Experimental results of ear recognition on two datasets (USTB and UND datasets) and the performance of the ear authentication system show the feasibility and effectiveness of the proposed approach. |
| format | Article |
| id | doaj-art-c396a8b94d00459f8920599b8eeb740b |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-c396a8b94d00459f8920599b8eeb740b2025-02-03T05:58:15ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/702076702076Ear Recognition Based on Gabor Features and KFDALi Yuan0Zhichun Mu1School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, ChinaSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, ChinaWe propose an ear recognition system based on 2D ear images which includes three stages: ear enrollment, feature extraction, and ear recognition. Ear enrollment includes ear detection and ear normalization. The ear detection approach based on improved Adaboost algorithm detects the ear part under complex background using two steps: offline cascaded classifier training and online ear detection. Then Active Shape Model is applied to segment the ear part and normalize all the ear images to the same size. For its eminent characteristics in spatial local feature extraction and orientation selection, Gabor filter based ear feature extraction is presented in this paper. Kernel Fisher Discriminant Analysis (KFDA) is then applied for dimension reduction of the high-dimensional Gabor features. Finally distance based classifier is applied for ear recognition. Experimental results of ear recognition on two datasets (USTB and UND datasets) and the performance of the ear authentication system show the feasibility and effectiveness of the proposed approach.http://dx.doi.org/10.1155/2014/702076 |
| spellingShingle | Li Yuan Zhichun Mu Ear Recognition Based on Gabor Features and KFDA The Scientific World Journal |
| title | Ear Recognition Based on Gabor Features and KFDA |
| title_full | Ear Recognition Based on Gabor Features and KFDA |
| title_fullStr | Ear Recognition Based on Gabor Features and KFDA |
| title_full_unstemmed | Ear Recognition Based on Gabor Features and KFDA |
| title_short | Ear Recognition Based on Gabor Features and KFDA |
| title_sort | ear recognition based on gabor features and kfda |
| url | http://dx.doi.org/10.1155/2014/702076 |
| work_keys_str_mv | AT liyuan earrecognitionbasedongaborfeaturesandkfda AT zhichunmu earrecognitionbasedongaborfeaturesandkfda |