Cross-spectral iris recognition using phase-based matching and homomorphic filtering

Maulisa Oktiana; Takahiko Horiuchi; Keita Hirai; Khairun Saddami; Fitri Arnia; Yuwaldi Away; Khairul Munadi

doi:10.1016/j.heliyon.2020.e03407

Cross-spectral iris recognition using phase-based matching and homomorphic filtering

Heliyon. 2020 Feb 20;6(2):e03407. doi: 10.1016/j.heliyon.2020.e03407. eCollection 2020 Feb.

Authors

Maulisa Oktiana¹, Takahiko Horiuchi², Keita Hirai², Khairun Saddami¹, Fitri Arnia^{1

3

4}, Yuwaldi Away^{1

3}, Khairul Munadi^{1

3

4}

Affiliations

¹ Graduate School of Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia.
² Department of Imaging Sciences, Graduate School of Engineering, Chiba University, Chiba, 263-8522, Japan.
³ Department of Electrical and Computer Engineering, Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia.
⁴ Telematics Research Center (TRC) Universitas Syiah Kuala, Banda Aceh, 23111, Indonesia.

Abstract

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%.

Keywords: Band-limited phase-only correlation (BLPOC); Biomedical engineering; Computer engineering; Computer science; Cross-spectral matching; Electrical engineering; Image processing; Iris recognition; Medical imaging; Phase-based iris recognition; Phase-only correlation (POC); Signal processing.