Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Personal identification using periocular skin texture
Proceedings of the 2010 ACM Symposium on Applied Computing
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It has been shown that SIFT is an effective recognition algorithm when applied to the ocular region[2, 4]. In addition, Gabor filters have been shown to be very useful as a preprocessing tool for machine learning driven image classification[1]. We evaluate the effect of this preprocessing approach on the performance of the SIFT algorithm when applied to ocular recognition. Our results show that the Gabor filter preprocessing does not improve the performance of the SIFT algorithm in the realm of ocular recognition.