Pengolahan Citra Digital untuk Keyboard Virtual Sebagai Antarmuka pada Aplikasi Berbasis Web

https://doi.org/10.22146/ijeis.7634

Raksaka Indra Alhaqq(1*), Agus Harjoko(2)

(1) 
(2) Department of Computer Science and Electronics, Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Since the first computer was founded, keyboard is always been a primary tool for interaction between humans and computers. Today, many computers use image processing technology to make interaction between computers and humans.

The author try to apply image processing technology that implemented to virtual keyboard on web application. Using a webcam to capture the tip of index finger and the results will be sent to the localhost server for processing with image processing. Using Haar Cascade Classifier method to detect the tip of index finger, it will produce coordinates that sent to the web application and it used as a reference for determining button positions on virtual keyboard. Virtual keyboard characters will display after appointed by the tip of  index finger.

From testing results, optimal distance from index finger to webcam is 20 – 35 cm. System can recognize the tip of index finger on white background and room with few furnitures. Average response time for displaying virtual keyboard sentences is 3 minutes and 28.838 seconds. So the virtual keyboard on this system was not able to be used as interface on web application, because it difficult to use in directing the tip of index finger to the character keys.


Keywords


web application, Haar Cascade Classifier, virtual keyboard, image processing

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References

[1] Ramadijanti, N., Setiawardhana, dan Alhaqqi, R.M., 2010, Tracking Jari dengan Haar Cascade dan Filter Kalman pada Virtual Keyboard, Invotek, No.1, Vol.3, 1-9.

[2] Wijewantha, N.S., 2003, VistaKey: A Keyboard Without A Keyboard – A Type Of Virtual Keyboard, Tesis, Department of Computing Informatics Institute of Technology, Wellawatta, Sri Lanka.

[3] Santoso, H. dan Harjoko, A., 2013, Haar Cascade Classifier dan Algoritma AdaBoost untuk Deteksi Banyak Wajah dalam Ruang Kelas, Jurnal Teknologi, No.2, Vol.6, 108-115.

[4] Putro, M.D., Adji, T.B., dan Winduratna, B., 2012, Sistem Deteksi Wajah dengan Menggunakan Metode Viola-Jones, Seminar Nasional “Science, Engineering and Technology”, Yogyakarta.



DOI: https://doi.org/10.22146/ijeis.7634

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