A new approach for sclera vein recognition

N. Luke Thomas; Yingzi Du; Zhi Zhou

doi:10.1117/12.849706

28 April 2010 A new approach for sclera vein recognition

N. Luke Thomas, Yingzi Du, Zhi Zhou

Proceedings Volume 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010; 770805 (2010) https://doi.org/10.1117/12.849706
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

The vein structure in the sclera is stable over time, unique to each person, and well suited for human identification. A few researchers have performed sclera vein pattern recognition and reported promising initial results. Sclera recognition poses several challenges: the vein structure moves and deforms with the movement of the eye; images of sclera patterns are often defocused and/or saturated; and, most importantly, the vein structure in the sclera is multi-layered and has complex non-linear deformation. In this paper, we proposed a new method for sclera recognition: First, we developed a color-based sclera region estimation scheme for sclera segmentation. Second, we designed a Gabor wavelet-based sclera pattern enhancement method, and an adaptive thresholding method to emphasize and binarize the sclera vein patterns. Third, we proposed a line descriptor-based feature extraction, registration, and matching method that is illumination-, scale-, orientation-, and deformation-invariant, and can mitigate the multi-layered deformation effects exhibited in the sclera and tolerate segmentation error. It is empirically verified using the UBIRIS database that the proposed method can perform accurate sclera recognition.

Citation Download Citation

N. Luke Thomas, Yingzi Du, and Zhi Zhou "A new approach for sclera vein recognition", Proc. SPIE 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010, 770805 (28 April 2010); https://doi.org/10.1117/12.849706

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