Seite - 55 - in Document Image Processing

J. Imaging 2018,4, 57 (a) (b) (c) Figure 9. ABanglahandwrittendocument classifiedwithRF classifier. Here, (a) grayscale image, (b)groundtruth image, (c) resultusingRULBP. Table2.Performancemeasure for text/non-text separation,usingvariousLBPfeatures. Feature FeatureDimension Classifier Precision Recall F-Measure Accuracy(in%) NB 0.802 0.771 0.774 77.08 MLP 0.529 0.54 0.534 54.04 LBP 256 SMO 0.892 0.889 0.889 88.87 K-NN 0.856 0.851 0.852 85.12 RF 0.914 0.913 0.913 91.33 NB 0.82 0.764 0.767 76.41 MLP 0.386 0.621 0.476 62.13 ILBP 511 SMO 0.862 0.858 0.859 85.84 K-NN 0.852 0.845 0.847 84.5 RF 0.913 0.913 0.912 91.31 NB 0.831 0.802 0.805 80.18 MLP 0.908 0.907 0.905 90.66 RILBP 36 SMO 0.889 0.886 0.887 88.62 K-NN 0.882 0.882 0.882 88.19 RF 0.912 0.912 0.912 91.23 NB 0.862 0.857 0.858 85.65 MLP 0.912 0.912 0.912 91.22 ULBP 59 SMO 0.891 0.888 0.889 88.8 KNN 0.901 0.901 0.901 90.13 RF 0.918 0.918 0.917 91.79 NB 0.859 0.855 0.856 85.52 MLP 0.907 0.907 0.906 90.71 RIULBP 10 SMO 0.888 0.886 0.887 88.58 KNN 0.886 0.886 0.886 88.62 RF 0.909 0.909 0.908 90.9 55