@article{ART002726047},
author={ParkKyungYeob and Joo-Sung Kim and Hyun-Soo Kim and Dong-Myung Shin},
title={Feature selection and similarity comparison system for identification of unknown paintings},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2021},
volume={17},
number={1},
pages={17-24},
doi={10.29056/jsav.2021.06.03}
TY - JOUR
AU - ParkKyungYeob
AU - Joo-Sung Kim
AU - Hyun-Soo Kim
AU - Dong-Myung Shin
TI - Feature selection and similarity comparison system for identification of unknown paintings
JO - Journal of Software Assessment and Valuation
PY - 2021
VL - 17
IS - 1
PB - Korea Software Assessment and Valuation Society
SP - 17
EP - 24
SN - 2092-8114
AB - There is a problem that unknown paintings are sophisticated in the level of forgery, making it difficult for even experts to determine whether they are genuine or counterfeit. These problems can be suspected of forgery even if the genuine product is submitted, which can lead to a decline in the value of the work and the artist. To address these issues, in this paper, we propose a system to classify chromaticity data among extracted data through objective analysis into quadrants, extracting comparisons and intersections, and estimating authors of unknown paintings using XRF and hyperspectral spectrum data from corresponding points.
KW - spectrum comparison;hyperspectral;normalization;correlation coefficient;software
DO - 10.29056/jsav.2021.06.03
ER -
ParkKyungYeob, Joo-Sung Kim, Hyun-Soo Kim and Dong-Myung Shin. (2021). Feature selection and similarity comparison system for identification of unknown paintings. Journal of Software Assessment and Valuation, 17(1), 17-24.
ParkKyungYeob, Joo-Sung Kim, Hyun-Soo Kim and Dong-Myung Shin. 2021, "Feature selection and similarity comparison system for identification of unknown paintings", Journal of Software Assessment and Valuation, vol.17, no.1 pp.17-24. Available from: doi:10.29056/jsav.2021.06.03
ParkKyungYeob, Joo-Sung Kim, Hyun-Soo Kim, Dong-Myung Shin "Feature selection and similarity comparison system for identification of unknown paintings" Journal of Software Assessment and Valuation 17.1 pp.17-24 (2021) : 17.
ParkKyungYeob, Joo-Sung Kim, Hyun-Soo Kim, Dong-Myung Shin. Feature selection and similarity comparison system for identification of unknown paintings. 2021; 17(1), 17-24. Available from: doi:10.29056/jsav.2021.06.03
ParkKyungYeob, Joo-Sung Kim, Hyun-Soo Kim and Dong-Myung Shin. "Feature selection and similarity comparison system for identification of unknown paintings" Journal of Software Assessment and Valuation 17, no.1 (2021) : 17-24.doi: 10.29056/jsav.2021.06.03
ParkKyungYeob; Joo-Sung Kim; Hyun-Soo Kim; Dong-Myung Shin. Feature selection and similarity comparison system for identification of unknown paintings. Journal of Software Assessment and Valuation, 17(1), 17-24. doi: 10.29056/jsav.2021.06.03
ParkKyungYeob; Joo-Sung Kim; Hyun-Soo Kim; Dong-Myung Shin. Feature selection and similarity comparison system for identification of unknown paintings. Journal of Software Assessment and Valuation. 2021; 17(1) 17-24. doi: 10.29056/jsav.2021.06.03
ParkKyungYeob, Joo-Sung Kim, Hyun-Soo Kim, Dong-Myung Shin. Feature selection and similarity comparison system for identification of unknown paintings. 2021; 17(1), 17-24. Available from: doi:10.29056/jsav.2021.06.03
ParkKyungYeob, Joo-Sung Kim, Hyun-Soo Kim and Dong-Myung Shin. "Feature selection and similarity comparison system for identification of unknown paintings" Journal of Software Assessment and Valuation 17, no.1 (2021) : 17-24.doi: 10.29056/jsav.2021.06.03
