SIFT based iris feature extraction and matching

Juan Geng; Yan Li; Tao Chian

doi:10.1117/12.761945

25 July 2007 SIFT based iris feature extraction and matching

Juan Geng, Yan Li, Tao Chian

Proceedings Volume 6753, Geoinformatics 2007: Geospatial Information Science; 67532F (2007) https://doi.org/10.1117/12.761945
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Iris feature extraction is the crucial stage of the whole iris recognition process. A brief introduction of iris recognition system is made firstly in this paper, then presented the method of iris feature extraction and matching using Scale Invariant Feature Transform (SIFT). Through analyzing iris feature extraction and matching method, we found in conventional iris recognition system, Iris features are not consistent because most feature extraction techniques are sensitive to the variations of captured iris image data, are impacted of natural illumination or other variant conditions easily. So this paper used SIFT feature which is invariant to image scaling and rotation, and partially invariant to change in illumination. They are also well localized in both the spatial and frequency domains. SIFT feature shows a higher feasibility in the iris feature extraction and matching process.

Citation Download Citation

Juan Geng, Yan Li, and Tao Chian "SIFT based iris feature extraction and matching", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67532F (25 July 2007); https://doi.org/10.1117/12.761945

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