Table 1. Comparison of existing literature.

Author Year Dataset Features Descriptors Classifier Accuracy
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)