PENGENALAN POLA ALPHABET TULISAN TANGAN SECARA ON-LINE DENGAN JST-BP

Tole Sutikno, Andhy Fathurrakhman

Abstract


The intelligent system based in the backpropagation artificial neural network and image processing with GUI Matlab 7.0 was developed. This system is designed for on-line pattern recognition. In this experiments, system are trained dan tested using capital alfabet handwriting patterns that captured from on-line webcam automatically. Generally, the results of the experiments show that the system could recoginize with a high accuracy.


Full Text:

PDF

References


Fadlil, 2004, “Pengaruh Kompleksitas Ekstraksi Ciri Pada Sistem Pengenalan Tulisan Tangan Dinamis” Jurnal Ilmiah Telkomnika, Vol.2, No.1.

Fausett, L., 1994, “Fundamentals Of Neural Networks : Architecture, algorithms, And Applications” Practise Hall, New Jersey .

Jain, A. K., 1995, Fundamentals of Digital Image Processing, Practice Hall, New Jersey.

Mudjirahardjo, P., 2001, “Penerapan JST-BP untuk Pengenalan Kode Pos Tulisan Tangan” Tesis S-2, Universitas Gadjah Mada, Yogyakarta.

Plamondon, R. and Srihari, S. N., 2000, “On-line and Off-line Handwriting Recognition : A Comprehensive Survey” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No.1.

Raph, G., 1997, “Run-On Recognition in an On-line Handwriting Recognition System” Report University of Karlsruhe, Germany.

Sigit, R., 2001, “Aplikasi Jaringan Syaraf Tiruan Untuk Mengenali Angka” Institut Teknologi Surabaya, Surabaya.

Tappert, C.C., Suen, C. Y. and Wakahara, T., 1990, “The State of the Art in On-Line Handwriting Recognition” IEEE Trans. Pattern Analysis ad Machine Intelligence, Vol. 12, No.8.




DOI: http://doi.org/10.12928/telkomnika.v3i2.1228

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120
Fax: +62 274 564604

View TELKOMNIKA Stats