Abstract
Eyelash occlusions pose great difficulty on the segmentation and feature encoding process of iris recognition thus will greatly affect the recognition rate. Traditional eyelash removal methods dedicate to exclude the eyelash regions from the 2D iris image, which waste lots of precious iris texture information. In this paper we aim to reconstruct the occluded iris patterns for more robust iris recognition. To this end, a novel imaging system, the microlens-based light field camera, is employed to capture the iris image. Beyond its ability to refocus and extend the depth of field, in this work, we explore its another feature, i.e. to see through the occlusions. And we propose to reconstruct occluded iris patterns using statistics of macro pixels. To validate the proposed method, we capture a unique light field iris database and implement iris recognition experiments with our proposed methods. Both recognition and visual results validate the effectiveness of our proposed methods.
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Zhang, S., Hou, G., Sun, Z. (2014). Eyelash Removal Using Light Field Camera for Iris Recognition. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_36
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DOI: https://doi.org/10.1007/978-3-319-12484-1_36
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