Pose and Illumination Invariant Hybrid Feature Extraction for Newborn
Keyword(s):
Recently a lot of face recognition systems are being designed to identify individuals in a semi controlled environment where pose and illumination are controlled. However, in the case of newborns it is not easy to click the photographs with similar pose and illumination. Here, in this paper a hybrid approach using Speeded Up Robust Features (SURF) and Local Binary Pattern (LBP) is proposed for newborns. Moreover, in this paper the experiment is done for a single gallery image with improved results. It shows that the proposed method has 97.18% accuracy which is an 8% improvement over LBP and 8.6% improvement over SURF for Rank 5.
2017 ◽
pp. 530-539
Keyword(s):
2019 ◽
Vol 29
(1)
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pp. 1523-1534
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2014 ◽
Vol 568-570
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pp. 668-671
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2016 ◽
Vol 4
(4)
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pp. 59-70
2018 ◽
Vol 2018
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pp. 1-12
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