Establishment and Analysis of Face Recognition Model Based on Least Square Method

DOI

10.2991/mmsa-18.2018.13How to use a DOI?

Keywords

gray level processing; feature extraction; projection; least square method

Abstract

Face recognition technology is studied to realize the reconstructed image after many years. The principal component analysis of local facial feature extraction using MATLAB images, two value curve, corrosion and boundary contour extraction, vertical and horizontal projection contour extraction after the picture is compared, obtained by the least square method fitting the corresponding function. The validity and accuracy of the model are verified by simulation.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fan Yang
AU  - Xuewen Tan
PY  - 2018/03
DA  - 2018/03
TI  - Establishment and Analysis of Face Recognition Model Based on Least Square Method
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 56
EP  - 59
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.13
DO  - 10.2991/mmsa-18.2018.13
ID  - Yang2018/03
ER  -