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Proceedings Paper

A new approach for sclera vein recognition
Author(s): N. Luke Thomas; Yingzi Du; Zhi Zhou
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Paper 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.

Paper Details

Date Published: 28 April 2010
PDF: 10 pages
Proc. SPIE 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010, 770805 (28 April 2010); doi: 10.1117/12.849706
Show Author Affiliations
N. Luke Thomas, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Yingzi Du, Indiana Univ.-Purdue Univ. Indianapolis (United States)
Zhi Zhou, Indiana Univ.-Purdue Univ. Indianapolis (United States)


Published in SPIE Proceedings Vol. 7708:
Mobile Multimedia/Image Processing, Security, and Applications 2010
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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