Wu et al. [5] | 2007 | Flavia | Shape + vein | Morphological descriptors (MD), Avein/Aleaf | PNN | 90.31 |
Hossain et al. [8] | 2010 | Flavia | Shape | MD | PNN | 91.40 |
Wang et al. [9] | 2011 | ICL | Shape + vein | SIFT, SC | k-NN | 91.30 |
Priya et al. [10] | 2012 | Flavia | Shape+ vein | MD, Avein/Aleaf | SVM | 94.50 |
k-NN | 78.00 |
Pham et al. [11] | 2013 | Flavia | Shape | Hu moments | SVM | 25.30 |
Shape | HOG | 84.70 |
Mouine et al. [12] | 2013 | Swedish | Shape | TARTOA | 1-NN | 90.4095.20 |
TSLTSLA | 95.7396.53 |
Wang et al. [13] | 2014 | ICL | Shape+ texture | EnS, CDS | SVM | 95.87 (ICL1)94.21 (ICL2) |
Flavia | Shape +texture | EnS, CDS | 97.80 |
Ghasab et al. [14] | 2015 | Flavia | Shape+ color + texture + vein | MD, CM, GLCM, Avein/Aleaf | SVM | 96.25 |
Aakif et al. [15] | 2015 | OwnFlaviaICL | Shape | MD, FD | ANN | 96.0096.0096.00 |
Ahmed et al. [16] | 2016 | Flavia | Shape + vein | MD | SVM | 87.40 |
Begue et al. [17] | 2017 | Own | Shape | MD | Random forest | 90.10 |
Amlekar et al. [18] | 2018 | ICL | Shape | MD | Feed forward neural network | 99% (training)96% (testing) |