Pengenalan Alfabet American Sign Language Menggunakan K-Nearest Neighbors Dengan Ekstraksi Fitur Histogram Of Oriented Gradients

Muhammad Ezar Al Rivan (STMIK Global Informatika MDP)
Hafiz Irsyad (STMIK Global Informatika MDP)
Kevin Kevin (STMIK Global Informatika MDP)
Arta Tri Narta (STMIK Global Informatika MDP)

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Vol 5 No 3 (2019): JuTISI

Sign Language use to communicate to people with dissabilities. American Sign Language (ASL) one of popular sign language. Histogram of Oriented Gradient (HOG) can be use as feature extraction. Then feature stored in database. K-Nearest Neighbor use to measure distance between feature train and feature test. There are three distance use in this paper consist of Euclidean Distance, Manhattan Distance and Chebychev Distance. The best result are 0,99 when using Euclidean Distance and Manhattan Distance with k=3 dan k=5