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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Yuan Zhi-chun Mu |
| Copyright Year | 2007 |
| Description | Author affiliation: Univ. of Sci. & Technol. Beijing, Beijing (Li Yuan; Zhi-chun Mu) |
| Abstract | Research of ear recognition and its application is a new subject in the field of biometrics authentication. Ear normalization and alignment is a fundamental module in the ear recognition system. Traditional manually normalization method is not suitable for an automatic recognition system. In this paper, an automatic ear normalization method is proposed based on improved Active Shape Model (ASM). This algorithm is applied on the USTB ear database for ear normalization. Then Full-space Linear Discriminant Analysis (FSLDA) is applied for ear recognition on the normalized ear images with different rotation variations. Experiments are performed on USTB ear image database. Recognition rates show that based on the right ear images, the acceptable head rotation range for ear recognition is between the right rotation of 20 degree to the left rotation of 10 degree. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 3814235 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424415960 |
| DOI | 10.1109/BTAS.2007.4401941 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biometrics Image recognition Head Image databases Face recognition Authentication Humans Ear Feature extraction Active shape model |
| Content Type | Text |
| Resource Type | Article |
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