
Aplikasi E-Tour Guide dengan Fitur Pengenalan Image Menggunakan Metode Haar Classifier
Author(s) -
Derwin Suhartono,
William Surya Permana,
Antoni Wiguna,
Ferlan Gisman Putra
Publication year - 2013
Publication title -
comtech/comtech
Language(s) - English
Resource type - Journals
eISSN - 2476-907X
pISSN - 2087-1244
DOI - 10.21512/comtech.v4i2.2593
Subject(s) - computer science , artificial intelligence , classifier (uml) , smart phone , computer vision , haar like features , pattern recognition (psychology) , haar , feature (linguistics) , wavelet , telecommunications , facial recognition system , linguistics , philosophy , face detection
Smartphone has became an important instrument in modern society as it is used for entertainment and information searching except for communication. Concerning to this condition, it is needed to develop an application in order to improve smart phone functionality. The objective of this research is to create an application named E-Tour Guide as a tool for helping to plan and manage tourism activity equipped with image recognition feature. Image recognition method used is the Haar Classifier method. The feature is used to recognize historical objects. From the testing result done to 20 images sample, 85% accuracy is achieved for the image recognition feature.