Lamminen Heikki, Voipio Ville, Manninen Tapio, Huttunen Heikki
Tampere University of Technology, Department of Signal Processing, Finland.
Acta Ophthalmol. 2009 Aug;87(5):529-31. doi: 10.1111/j.1755-3768.2008.01496.x. Epub 2009 Apr 27.
Bioidentification is becoming increasingly important in everyday life. One of the most widespread methods of bioidentification is based on the structure of the iris. Iris photography has several advantages as an identification method: it is relatively simple and effective; it is non-invasive, and it is comparatively inexpensive. However, some medical conditions may change the appearance of the iris. This paper discusses the effects of latanoprost-induced pigmentation changes in iris bioidentification.
The study is based on four extreme cases of latanoprost-induced pigmentation changes. Iris photographs in these patients during treatment are compared with pretreatment photographs. The comparison is carried out with iris recognition software developed by our research group based on the principles of Daugman's well-known IrisCode. The system was evaluated with 595 iris comparisons.
Iris photographs showing latanoprost-induced pigmentation changes were correctly matched with pretreatment photographs of the same irises with an error probability similar to that for matching equivalent pairs of photographs in intact eyes.
Our results indicate that the pigmentation changes studied do not seem to have a significant effect on the standard identification algorithm.
生物识别在日常生活中变得越来越重要。最广泛使用的生物识别方法之一是基于虹膜的结构。虹膜摄影作为一种识别方法有几个优点:它相对简单有效;是非侵入性的,而且成本相对较低。然而,一些医疗状况可能会改变虹膜的外观。本文讨论了拉坦前列素引起的色素沉着变化对虹膜生物识别的影响。
该研究基于拉坦前列素引起色素沉着变化的四个极端案例。将这些患者治疗期间的虹膜照片与治疗前的照片进行比较。使用我们研究小组根据道格曼著名的虹膜编码原理开发的虹膜识别软件进行比较。该系统通过595次虹膜比较进行评估。
显示拉坦前列素引起色素沉着变化的虹膜照片与同一虹膜的治疗前照片正确匹配,错误概率与完整眼睛中匹配等效照片对的错误概率相似。
我们的结果表明,所研究的色素沉着变化似乎对标准识别算法没有显著影响。