Klasifikasi Down Syndrome Menggunakan Tekstur LBP dengan Tiga Variasi Distance Classifiers

Down syndrome is the most easily identified and common genetic disorder. variation of trisomy 21 has characteristics that are to people with syndrome. But, children this have slight differences in mouth appearance because they tend similar oral features their parents siblings so distinguishing them quite complex. Therefore, it important know more details special This study aims create an innovative image processing-based system practical classify down normal people. The method can be used Local Binary Pattern (LBP) method. 2400 frames for data training. Then, also uses 3600 testing data. results obtained threshold value which gives a good classification 0.1-0.2 three variations distance calculation Euclidean Chebychev methods accuracy quality 100% while City block at 91.6. So, said accurate research Chebychev, Euclidean, then Block