Abstract
In this paper, we proposed a method for face recognition with reject option. First, by setting a threshold, we use sparse representation (SR) method to find out candidates who should be rejected, and choose their nearest neighbors in the training set based on contribution in SR. Then we extract the Locally Adaptive Regression Kernels (LARK) feature of each candidate sample and its neighbors respectively. At last, we determine whether a candidate should be rejected via calculating the matrix cosine similarity measure. A number of experiments show that combining with sparse and LARK representation can obtain good performs for rejection.
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Wang, M., Wang, Y., Cui, J., Liu, S., Tian, Y. (2014). Face Recognition Based on Representation with Reject Option. In: Pan, JS., Krömer, P., Snášel, V. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 238. Springer, Cham. https://doi.org/10.1007/978-3-319-01796-9_33
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DOI: https://doi.org/10.1007/978-3-319-01796-9_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01795-2
Online ISBN: 978-3-319-01796-9
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