Aplikasi E-Tour Guide dengan Fitur Pengenalan Image Menggunakan Metode Haar Classifier

Authors

  • Derwin Suhartono Bina Nusantara University
  • William Surya Permana Bina Nusantara University
  • Antoni Wiguna Bina Nusantara University
  • Ferlan Gisman Putra Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v4i2.2593

Keywords:

smartphone, e-tour guide, Haar Classifier, image recognition

Abstract

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.

Dimensions

Plum Analytics

Author Biographies

Derwin Suhartono, Bina Nusantara University

Computer Science Department, School of Computer Science

William Surya Permana, Bina Nusantara University

Computer Science Department, School of Computer Science

Antoni Wiguna, Bina Nusantara University

Computer Science Department, School of Computer Science

Ferlan Gisman Putra, Bina Nusantara University

Computer Science Department, School of Computer Science

References

Bradski, G., & Kaehler, A. (2008). Learning OpenCV. California: O'Reilly.

Jensen, O. H. (2008). Implementing the Viola-Jones Face Detection Algorithm. Skripsi tidak diterbitkan. Technical University of Denmark, Lyngby, Denmark.

Kaur S., Agarwal P., Rana, R.S. (2011). Ant colony optimization: a technique used for image processing. International Journal of Computer Science and Technology, 2 (2). ISSN: 2229-4333 / 0976-8491.

Seo, N. (2012). Rapid Object Detection With A Cascade of Boosted Classifiers Based on Haar-like Features. Diakses dari http://note.sonots.com/SciSoftware/haartraining.html.

Singh, S. K., dan Kathane, A. (2011). Various methods for edge detection in digital image processing, International Journal of Computer Science and Technology, 2 (2). ISSN: 2229-4333 / 0976-

Suri, P.K., Walia E., Verma, E.A. (2010). Vehicle number plate detection using sobel edge detection technique. International Journal of Computer Science and Technology, 1(2). ISSN: 2229-4333 / 0976-8491.

Downloads

Published

2013-12-01

Issue

Section

Articles
Abstract 350  .
PDF downloaded 256  .