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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Galdamez, P.L. Gonzalez Arrieta, A. Ramon, M.R. |
| Copyright Year | 2014 |
| Description | Author affiliation: Salamanca Univ., Salamanca, Spain (Galdamez, P.L.; Gonzalez Arrieta, A.) || Spain Nat. Police, Avila, Spain (Ramon, M.R.) |
| Abstract | The purpose of this paper is to offer a combined approach in biometrics analysis field integrating some of the most known techniques using ears to recognize people. This study uses Hausdorff distance as a pre-processing stage adding sturdiness to increase the performance filtering for the subjects to use it in the testing process. Also includes the Image Ray Transform (IRT) and the Haar based classifier for the detection step. Then, the system computes SURF and LDA features as an input of two neural networks to recognize a person by the patterns of its ear. To show the applied theory experimental results, the above algorithms have been implemented using the programming language Microsoft C#. The investigation results showed robustness improving the ear recognition process. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 350171 |
| Page Count | 6 |
| File Format | |
| ISBN | 9788490123553 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-07 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | International Society of Information Fusion |
| Subject Keyword | Ear Vectors Feature extraction Robustness Principal component analysis Face Image edge detection Neural Network Hausdorff LDA IRT SURF Algorithm Ear Recognition |
| Content Type | Text |
| Resource Type | Article |
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