Test of the Practicality and Feasibility of EDoF-Empowered Image Sensors for Long-Range Biometrics
AbstractFor many practical applications of image sensors, how to extend the depth-of-field (DoF) is an important research topic; if successfully implemented, it could be beneficial in various applications, from photography to biometrics. In this work, we want to examine the feasibility and practicability of a well-known “extended DoF” (EDoF) technique, or “wavefront coding,” by building real-time long-range iris recognition and performing large-scale iris recognition. The key to the success of long-range iris recognition includes long DoF and image quality invariance toward various object distance, which is strict and harsh enough to test the practicality and feasibility of EDoF-empowered image sensors. Besides image sensor modification, we also explored the possibility of varying enrollment/testing pairs. With 512 iris images from 32 Asian people as the database, 400-mm focal length and F/6.3 optics over 3 m working distance, our results prove that a sophisticated coding design scheme plus homogeneous enrollment/testing setups can effectively overcome the blurring caused by phase modulation and omit Wiener-based restoration. In our experiments, which are based on 3328 iris images in total, the EDoF factor can achieve a result 3.71 times better than the original system without a loss of recognition accuracy. View Full-Text
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Hsieh, S.-H.; Li, Y.-H.; Tien, C.-H. Test of the Practicality and Feasibility of EDoF-Empowered Image Sensors for Long-Range Biometrics. Sensors 2016, 16, 1994.
Hsieh S-H, Li Y-H, Tien C-H. Test of the Practicality and Feasibility of EDoF-Empowered Image Sensors for Long-Range Biometrics. Sensors. 2016; 16(12):1994.Chicago/Turabian Style
Hsieh, Sheng-Hsun; Li, Yung-Hui; Tien, Chung-Hao. 2016. "Test of the Practicality and Feasibility of EDoF-Empowered Image Sensors for Long-Range Biometrics." Sensors 16, no. 12: 1994.
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