SIFT Features and Machine Learning based Sclera Recognition Method with Efficient Sclera Segmentation for Identity Identification
碩士 === 國立中興大學 === 電機工程學系所 === 106 === The identity identification has been an important issue in recent years. Compared with the traditional identification system by using magnetic buckle, access card or other mediums, the biological features have higher safety and protection from counterfeit. The b...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/n5x33k |