Identity Recognition Based on the Local Texture Features of the Human Ear
碩士 === 國立高雄大學 === 電機工程學系碩博士班 === 105 === Ear recognition, as a biometric, has several advantages in many real-world applications. In this paper, we propose an enhanced orthogonal symmetric local ternary pattern for ear-based identity recognition. We take a human ear image to extract local texture fe...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2017
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Online Access: | http://ndltd.ncl.edu.tw/handle/dfv5ec |