ALGORITMA BACKPROPAGATION PADA JARINGAN SARAF TIRUAN UNTUK PENGENALAN POLA WAYANG KULIT

Kristian Adi Nugraha, Albertus Joko Santoso, Thomas Suselo

Abstract


Wayang kulit merupakan salah satu budaya asli Indonesia yang terkenal hingga ke berbagai penjuru dunia. Setiap wayang kulit memiliki ciri bentuk dan pola-pola ukiran yang unik untuk membedakan antara karakter wayang kulit yang satu dengan yang lain. Penulis memiliki inisiatif untuk melakukan penelitian mengenai pengenalan pola wayang kulit menggunakan metode jaringan saraf tiruan dengan Algoritma Backpropagation. Tujuan utama dari penelitian ini untuk mengetahui tingkat keakuratan Algoritma Backpropagation yang digunakan dalam pengenalan pola wayang kulit. Hasil penelitian menunjukkan bahwa pengenalan pola dapat berlangsung cukup baik untuk gambar wayang kulit yang sudah dikenali sebelumnya, sedangkan untuk gambar yang belum dikenali bergantung pada banyak sedikitnya jumlah gambar pada training set. Harapan penulis hasil penelitian ini dapat dimanfaatkan dalam aplikasi-aplikasi lain yang memiliki tujuan untuk menjaga kelestarian budaya lokal, yang menggunakan wayang kulit sebagai obyek utamanya.


Full Text:

PDF (Indonesian)

References


Basu, J. K., Bhattacharyya, D. & Kim, T.-h., 2010. Use of Artificial Neural Network in Pattern Recognition. International Journal of Software Engineering and Its Applications Vol. 4, No. 2, April 2010, pp. 23-34.

Bin, L. & Yeganeh, M. S., 2012. Comparison for Image Edge Detection Algorithms. IOSR Journal of Computer Engineering (IOSRJCE) ISSN: 2278-0661 Volume 2, Issue 6 (July-Aug. 2012), pp. 1-4.

Chouhan, B. & Shukla, S., 2011. Iris Recognition System using canny edge detection for Biometric Identification. International Journal of Engineering Science and Technology (IJEST) Vol. 3 No. 1 Jan 2011, pp. 31-35.

Devireddy, S. K. & Rao, S. A., 2009. Hand Written Character Recognition Using Back Propagation Network. Journal of Theoretical and Applied Information Technology, pp. 257-269.

Edoh, K., 2011. Edge Detection with Geometric Transforms and Isotropic Nonlinear Equation. International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 4, No. 3, September, 2011, pp. 51-60.

Hamid, N. A., Nawi, N. M., Ghazali, R. & Salleh, N. M., 2011. Accelerating Learning Performance of Back Propagation Algorithm by Using Adaptive Gain Together with Adaptive Momentum and Adaptive Learning Rate on Classification Problems. International Journal of Software Engineering and Its Applications Vol. 5 No. 4, October, 2011, pp. 31-44.

Ishwarya, M. V., 2012. An Improved Online Tamil Character Recognition Using Neural Networks. International Journal of Advanced Science and Technology Vol. 42, May, 2012, pp. 1-10.

Jayachandra, C. & Reddy, H. V., 2013. Iris Recognition based on Pupil using Canny edge detection and K-Means Algorithm. International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 2 Issue 1 Jan 2013, pp. 221-225.

Kishk, S., Ahmed, H. E. M. & Helmy, H., 2011. Integral Images Compression using Discrete Wavelets and PCA. International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 4, No. 2, June, 2011, pp. 65-78.

Maini, R. & Aggarwal, H., 2010. Study and Comparison of Various Image Edge Detection Techniques. International Journal of Image Processing (IJIP), Volume (3) : Issue (1), pp. 1-12.

Mousa, A., 2012. Canny Edge-Detection Based Vehicle Plate Recognition. International Journal of Signal Processing, Image Processing and Pattern Recognition, pp. 1-8.

Murty, P. S. R. C., Reddy, E. S. & Babu, I. R., 2009. Iris Recognition System Using Fractal Dimensions of Haar Patterns. International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 2, No.3, September 2009, pp. 75-84.

Raheja, J. L. & Kumar, U., 2010. Human Facial Expression Detection From Detected In Captured Image Using Back Propagation Neural Network. International journal of computer science & information Technology (IJCSIT), Vol. 2, No. 1, February 2010, pp. 116-123.

Shukla, N. & Kumar, A., 2013. Using Back-Propagation Recognition of Facial Expression. Journal of Environmental Science, Computer Science and Engineering & Technology JECET; December 2012 -February 2013; Vol.2.No.1, pp. 39-45.


Refbacks

  • There are currently no refbacks.