Oktiana Maulisa, Horiuchi Takahiko, Hirai Keita, Saddami Khairun, Arnia Fitri, Away Yuwaldi, Munadi Khairul
Graduate School of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia.
Department of Imaging Sciences, Graduate School of Engineering, Chiba University, Chiba, 263-8522, Japan.
Heliyon. 2020 Feb 20;6(2):e03407. doi: 10.1016/j.heliyon.2020.e03407. eCollection 2020 Feb.
In cross-spectral iris recognition, different spectral bands are used to obtain rich information of the human iris. Previous studies on cross-spectral iris recognition are based primarily on feature-based approaches, which are prone to the changes in parameters in the feature extraction process, such as spatial position and iris image acquisition conditions. These parameters can degrade iris recognition performance. In this paper, we present a phase-based approach for cross-spectral iris recognition using phase-only correlation (POC) and band-limited phase-only correlation (BLPOC). A phase-based iris recognition system recognizes an iris using the phase information contained in the iris image; therefore, its performance is not affected by feature extraction parameters. However, the performance of a phase-based cross-spectral iris recognition is strongly influenced by specular reflection. Different illumination conditions may produce different iris images from the same subject. To overcome this challenge, we integrate a photometric normalization technique -homomorphic filtering- with phase-based cross-spectral iris recognition. The experimental results reveal that the proposed technique achieved an excellent matching performance with an equal error rate of 0.59% and a genuine acceptance rate of 95%.
在跨光谱虹膜识别中，使用不同的光谱波段来获取人类虹膜的丰富信息。以往关于跨光谱虹膜识别的研究主要基于基于特征的方法，这些方法在特征提取过程中容易受到参数变化的影响，如空间位置和虹膜图像采集条件。这些参数会降低虹膜识别性能。在本文中，我们提出了一种基于相位的跨光谱虹膜识别方法，使用仅相位相关（POC）和带限仅相位相关（BLPOC）。基于相位的虹膜识别系统利用虹膜图像中包含的相位信息来识别虹膜；因此，其性能不受特征提取参数的影响。然而，基于相位的跨光谱虹膜识别性能受到镜面反射的强烈影响。不同的光照条件可能会从同一受试者产生不同的虹膜图像。为了克服这一挑战，我们将一种光度归一化技术——同态滤波——与基于相位的跨光谱虹膜识别相结合。实验结果表明，所提出的技术实现了出色的匹配性能，误识率为0.59%，真识率为95%。
