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Detecting fake iris in iris bio-metric system

机译:在虹膜生物识别系统中检测假虹膜

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Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of the irises of an individual's eyes, whose complex random patterns are unique and can be seen from some distance. Now days, Iris is being used widely by several organizations, including governments, for identification and authentication purposes. Aadhar, India's UID project uses Iris scan along with fingerprints to uniquely identify people and allocate a Unique Identification Number. Most of the work done in the area of Iris pattern recognition systems emphasizes only on matching of the patterns with the stored templates. Security aspects of the system are still unexplored. The available security algorithms provide only some cryptographic solutions that keeps the template database in a secret cryptographic form. We successfully enhanced the detection of fake iris images and add the provision of detection of false of scanned iris images as template. This enhanced significantly the performance of the system in terms of security and reliability. We use Flash and motion detection of natural eye to detect the liveliness of real iris images before matching from stored templates. (C) 2018 Elsevier Ltd. All rights reserved.
机译:虹膜识别是一种生物特征识别的自动化方法,该方法对个人眼睛虹膜的视频图像使用数学模式识别技术,该图像的复杂随机模式是唯一的,并且可以从远处看到。如今,虹膜已被包括政府在内的多个组织广泛用于识别和认证目的。印度的UID项目Aadhar使用虹膜扫描和指纹来唯一识别人员并分配唯一识别号。虹膜模式识别系统领域中完成的大多数工作仅强调将模式与存储的模板进行匹配。系统的安全性方面仍未开发。可用的安全算法仅提供了一些加密解决方案,可将模板数据库保持为秘密加密形式。我们成功地增强了对假虹膜图像的检测,并增加了对扫描的虹膜图像的错误检测的提供作为模板。就安全性和可靠性而言,这大大提高了系统的性能。在从存储的模板进行匹配之前,我们使用自然眼的Flash和运动检测来检测实际虹膜图像的生动程度。 (C)2018 Elsevier Ltd.保留所有权利。

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