Combined Haar-Hilbert and Log-Gabor Based Iris Encoders
Aurel Vlaicu University of Arad（阿拉德奥雷尔·弗拉伊库大学）；Spiru Haret University（斯皮鲁·哈雷特大学）；Ovidius University of Constanta（康斯坦察奥维狄乌斯大学）
英文摘要：
This chapter shows that combining Haar-Hilbert and Log-Gabor improves iris recognition performance leading to a less ambiguous biometric decision landscape in which the overlap between the experimental intra- and interclass score distributions diminishes or even vanishes. Haar-Hilbert, Log-Gabor and combined Haar-Hilbert and Log-Gabor encoders are tested here both for single and dual iris approach. The experimental results confirm that the best performance is obtained for the dual iris approach when the iris code is generated using the combined Haar-Hilbert and Log-Gabor encoder, and when the matching score fuses the information from both Haar-Hilbert and Log-Gabor channels of the combined encoder.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
