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Article

Test of the Practicality and Feasibility of EDoF-Empowered Image Sensors for Long-Range Biometrics

1
Department of Photonics, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan
2
Department of Computer Science & Information Engineering, National Central University, No. 300 Zhongda Road, Zhongli District, Taoyuan 32001, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Sensors 2016, 16(12), 1994; https://doi.org/10.3390/s16121994
Received: 28 September 2016 / Revised: 17 November 2016 / Accepted: 18 November 2016 / Published: 25 November 2016
(This article belongs to the Special Issue Imaging: Sensors and Technologies)
For 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
Keywords: wavefront coding; extended depth of field; iris recognition; biometrics wavefront coding; extended depth of field; iris recognition; biometrics
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MDPI and ACS Style

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. https://doi.org/10.3390/s16121994

AMA Style

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. https://doi.org/10.3390/s16121994

Chicago/Turabian Style

Hsieh, Sheng-Hsun, Yung-Hui Li, and Chung-Hao Tien. 2016. "Test of the Practicality and Feasibility of EDoF-Empowered Image Sensors for Long-Range Biometrics" Sensors 16, no. 12: 1994. https://doi.org/10.3390/s16121994

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