Paper
28 April 2010 A new approach for sclera vein recognition
N. Luke Thomas, Yingzi Du, Zhi Zhou
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
Lens.org Logo
CITATIONS
Cited by 35 scholarly publications and 2 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sclera

Veins

Image segmentation

Databases

Iris recognition

Image quality

Eye

RELATED CONTENT


Back to Top