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一种虹膜图像质量评估方法

A Method of Iris Image Quality Evaluation
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摘要 虹膜认证技术是近年来发展起来的一项新的生物认证技术,和传统的方法比较,具有独特性、稳定性、防伪性、无侵犯性等特点,虹膜图像的质量评估是虹膜图像识别的前期工作,也是虹膜图像正确识别的基础,本文针对虹膜图像瞳孔变形、边界模糊、两个圆不同心、严重的眼睑和睫毛遮挡几个典型情况,提出了虹膜图像质量评估的量化方法,试验结果表明此方法有效。 Iris image quality evaluation plays a very important part in iris computer recognition. An iris image quality evaluation method was introduced into this study to distinguish good image from bad image caused by pupil distortion, blurred boundary, two circles appearing not concentric, and severe occlusion by eyelids and eyelashes. The tests based on this method gave good results.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2006年第2期275-278,共4页 Journal of Biomedical Engineering
关键词 图像质量评价 虹膜识别 生物认证 Image quality evaluation Iris recognition Biometrics
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  • 1姚国正,视觉计算理论.,1988年,53页
  • 2王东泉,计算机视觉,1987年,94页
  • 3Wildes R P,Asmuth J C,Hanna K J,et al. Automated,Non-invasive Iris Recognition System and Method [P]. US Patent 5572596,1996.
  • 4Daugman J G. How Iris Recognition Works [OL]. http://www.cl.cam.ac.uk/users/jgd1000/,2001.
  • 5Wildes R P. Iris recognition: An emerging biometric technology [J]. Proceedings of the IEEE,1997,85(9): 1348-1363.
  • 6Daugman J G. High confidence visual recognition of persons by a test of statistical independence [J]. IEEE Trans on Pattern Anal Machine Intelligence,1993,15(11): 1148-1161.
  • 7Kasilingam D, Junfeng Wang, Jong-Sen Lee, et al. Focusing of synthetic aperture radar images of moving targets using minimum entropy adaptive filters [J]. IEEE 2000 International Geoscience and Remote Sensing Symposium, 2000,1 (1): 74-76
  • 8采集与处理,2000,15(3):351-354.
  • 9Haralick R M, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans. On SMC, 1973, 3(6): 610-621
  • 10Daugman J. High confidence visual recognition of persons by a test of statistical independence [J]. IEEE Trans Pattern And Machine Intelligence, 1993,15(11): 1148-1161

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