Gait Recognition Using Three-Patch Center-Symmetric Local Ternary Pattern
| Autor: | Szu-Han Wu, 伍思翰 |
|---|---|
| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 Gait recognition is a newly merged biometrics which utilizes the manner of walking to recognize an individual. Compared with other biometrics, it is more difficult to disguise. In addition, gait can be captured in a distance by using low-resolution capturing devices. In this paper, we present a novel texture descriptor called patch-based center-symmetric local ternary pattern for feature extraction to recognize a person's identity of a gait image. The experimental results demonstrate that our proposed approach outperforms other gait recognition methods in both accuracy and robustness. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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