虹膜识别的问题、挑战与成就

Sunil Swamilingappa Harakannanavar, C. Prashanth, Vidyashree Kanabur
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引用次数: 4

摘要

近年来,生物特征识别技术在边境安全、门禁和法医等领域的应用取得了重要的进展。虹膜识别是目前发展最为迅速的生物识别技术之一。由于其独特的生物特征,虹膜识别与验证系统已成为最准确的生物识别方式之一。本文讨论了虹膜图像识别的各个步骤,包括采集、分割、归一化、特征提取和匹配。虹膜识别系统的性能取决于在提取虹膜特征之前采用的分割和归一化技术。它还提供了虹膜识别系统的重要方法的广泛审查。此外,还介绍了虹膜面临的挑战和取得的成就。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Extensive Study of Issues, Challenges and Achievements in Iris Recognition
In recent years biometric identification of persons has gained major importance in the world from its applications, such as border security, access control and forensic. Iris recognition is one of the most booming biometric modalities. Due to its unique character as a biometric feature, iris identification and verification systems have become one of the most accurate biometric modality. In this paper, the different steps to recognize an iris image which includes acquisition, segmentation, normalization, feature extraction and matching are discussed. The performance of the iris recognition system depends on segmentation and normalization techniques adopted before extracting the iris features. It also provides an extensive review of the significant methods of iris recognition systems. In addition to this, the challenges and achievements of the iris are presented.
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