Aplikasi MATLAB untuk Mengenali Karakter Tulisan Tangan

ali mahmudi

Abstract


Handwriting recognition is one of the very interesting research object in the field of image processing, artificial intelligence and computer vision. This is due to the handwritten characters is varied in every individual. The style, size and orientation of handwriting characters has made every body’s is different, hence handwriting recognition is a very interesting research object. Handwriting recognition application has been used in quite many applications, such as reading the bank deposits, reading the postal code in letters, and helping peolple in managing documents.

This paper presents a handwriting recognition application using Matlab. Matlab toolbox that is used in this research are Image Processing and Neural Network Toolbox.

 


Keywords


recognition; image processing;artificial intelligence;computer vision

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References


. Aprijani,Dwi Astuti. 2011. ”Aplikasi Jaringan Syaraf Tiruan Untuk Mengenali Tulisan Tangan Huruf A,B,C,D Pada Jawaban Soal Pilihan Ganda”. Jurnal Matematika, Sains dan Teknologi Volume 12 nomor 1.

. Arief, Achmad Fauzi. 2010. “Perangkat Lunak Konversi Tulisan Tangan Menjadi Teks Digital”

. Emanuel, Andi Wahju Rahardjo dan Arie Hartono. 2008. “Pengembangan Aplikasi Pengenalan Karaketer Alfanumerik Dengan Menggunakan Algoritma Neural Network Three-Layer Backpropagation”. Jurnal Informatika (4), 49 – 58

. Hermawan, Arief. 2006. Jaringan Syaraf Tiruan teori dan Aplikasi. Yogyakarta : ANDI

. Fausett, L. 1994. Fundamentals of Neural Network. Prentice-Hall International, Inc., Florida Institut of Technology.

. Fauziah, M Iwan Wahyuddin. 2009. “Metode Jaringan Saraf Tiruan Penjejakan Balik Untuk Pengenalan Huruf Cetak Pada Citra Digital” . Jurnal Artificial, ICT Research Center UNAS (3)

. Fifin Hietania, Wayan Santiyasa, Ida Bagus Gede Dwidasmara, “Implementasi Backpropgation Dalam Pengolahan Citra Teks Tulisan Tangan Menjadi Teks Digital”, Teknik Informatika, Universitas Udayana.

. Murni,A.,1992.Pengantar Pengolahan Citra. Jakarta : PT.Elex Media Komputindo.

. Dinesh Dileep, “A Feature Extraction Technique Based on Character Geometry fot Character Recognition”.

. Nugraha, A.P. dan A.B. Mutiara . 2002. “Metode ekstraksi data untuk pengenalan huruf dan angka tulisan tangan dengan menggunakan 10 jaringan syaraf buatan propagasi balik”

. Puspitaningrum,Diyah.2006. Pengantar Jaringan Syaraf Tiruan. Yogyakarta : ANDI




DOI: https://doi.org/10.18860/mat.v9i1.4128

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