| 題名: | Finger-vein recognition based on parametric-oriented corrections |
| 作者: | Hsia, Chih-Hsien
Guo, Jing-Ming
Wu, Chong-Sheng |
| 貢獻者: | 電機系 |
| 關鍵詞: | Biometrics identification
Parametric-oriented histogram equalization
Finger-vein recognition
Personal identification
Low-price requirement |
| 日期: | 2017-12 |
| 上傳時間: | 2017-12-25 14:07:01 (UTC+8) |
| 摘要: | The two key factors in a biometric identification system are its high identification rate and convenience of device usage. In a finger-vein identification task, these two problems often occur since the captured device of finger-vein image should accommodate the high identification rate as well as the easy-to-use device design. The finger-vein is visually invisible inside the human skin. This work develops a new finger-vein capturing device using Near-Infrared (NIR) LED light and proposes an efficient technique for finger-vein identification. The vein image may contain noise and shadows due to device lighting conditions. Parametric-Oriented Histogram Equalization (POHE) is utilized to enhance image contrast and reduce the noise effect. This work also discusses normalized issues related to the angle correction of the finger edge and Region of Interest (ROI) for width normalization. In the experimental result, the proposed method yields a clear finger-vein pattern with a superior identification rate in the recognition task compared to the state-of-the-art methods. |
| 關聯: | MULTIMEDIA TOOLS AND APPLICATIONS 卷: 76 期: 23 頁碼: 25179-25196 |
| 顯示於類別: | [Department of Electrical Engineering ] journal articles
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