Gait Recognition Using Three-Patch Center-Symmetric Local Ternary Pattern

• Main Authors: Szu-Han Wu, 伍思翰
• Other Authors: Chih-Chin Lai
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/33062472428812528508

碩士 === 國立高雄大學 === 電機工程學系碩士班 === 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.