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Nearest Feature Line and Extended Nearest Feature Line with Half Face

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Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 238))

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Abstract

In this paper, nearest feature line with half face (NFLhalfface) classifier and extended nearest feature line with half face (ENFLhalfface) classifier are proposed for face recognition. Nearest feature line (NFL) classifier and extended nearest feature line (ENFL) classifier both constitute the feature line by a pair of the samples belonging to the same class. Being different from them, NFLhalfface and ENFLhalfface constitute the feature line by left half face and right half face of a prototype face, which reduce the computational complexity. At the same time, the experimental results on AR face database and Yale face database show that they are superior to nearest neighbour (NN), NFL, ENFL, nearest feature mid-point (NFM) and shortest feature line segment (SFLS).

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Feng, Q., Yan, L., Pan, TS., Pan, JS. (2014). Nearest Feature Line and Extended Nearest Feature Line with Half Face. 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_8

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  • DOI: https://doi.org/10.1007/978-3-319-01796-9_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01795-2

  • Online ISBN: 978-3-319-01796-9

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