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A Fusion of Trace Transform and Hamming Distance with Multiresolution Technique for Improved Accuracy Approach Face Based Identification |
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| รหัสดีโอไอ | |
| Creator | Rerkchai Fooprateepsiri |
| Title | A Fusion of Trace Transform and Hamming Distance with Multiresolution Technique for Improved Accuracy Approach Face Based Identification |
| Contributor | Werasak Kurutach |
| Publisher | Faculty of Information Science and Technology, Mahanakorn University of Technology |
| Publication Year | 2554 |
| Journal Title | Journal of Information Science and Technology |
| Journal Vol. | 2 |
| Journal No. | 2 |
| Page no. | 23-29 |
| Keyword | Face Recognition/Authentication, Multi-resolution Trace Transform, Hamming distance, Image Signature |
| URL Website | https://tci-thaijo.org/index.php/JIST |
| Website title | Journal of Information Science and Technology |
| ISSN | 2651-1053 |
| Abstract | This paper proposes a highly robust method for face recognition with variant illumination, scaling, rotation, blur, reflection and difference emotions (smiling, angry and screaming). Techniques introduced in this work are composed of two parts. The first one is the detection of facial features by using the concept of multi-resolution Trace transform. Then, in the second part, the Hamming distance is employed to measure and determine of similarity between the models and tested images. Finally, our method is evaluated with experiments on the AR and XM2VTS facial databases and compared with other related works (e.g. Eigen face, Enhance-EBGH, Hausdorff ARTMAP and Original Trace-Hamming). The extensive experimental results show that the average of accuracy rate of face recognition with variant pose, illumination, scaling, rotation, blur, reflection and difference expression is very high and it was found that our proposed method performed better than the other related works in all cases. |
