Pengenalan karakter angka menggunakan metode Integral Proyeksi
DOI:
https://doi.org/10.26594/register.v3i2.706Keywords:
digital image, Integral Projection, Numeric character, Pattern recognition, citra digital, Integral Proyeksi, Karakter angka, Pengenalan polaAbstract
Saat ini dengan kemajuan teknologi membuat komputer memiliki kemampuan komputasi yang lebih tinggi untuk meningkatkan kemampuan dalam pengolahan data. Kemajuan teknologi ini juga berimbas pada kemampuan teknologi citra digital yang berhubungan dengan pengenalan karakter angka yang merupakan bagian dari pengenalan pola. Pengenalan karakter penting untuk pengolahan informasi yang memungkinkan proses identifikasi secara cepat dan otomatis. Pada penelitian ini dilakukan proses pengenalan karakter angka menggunakan metode Integral Proyeksi. Alasan menggunakan metode integral proyeksi karena mempunyai kelebihan pemrosesan yang sederhana dan cepat dalam mengidentifikasi suatu citra digital. Integral Proyeksi yang digunakan yaitu Integral Proyeksi vertikal dan Integral Proyeksi horisontal. Hasil penelitian menunjukkan pengenalan karakter angka mampu mengenali karakter dengan benar jika hasil praproses menghasilkan gambar yang baik. Pengenalan karakter angka akan kurang sempurna jika gambar yang diproses tidak baik, hal ini dikarenakan metode Integral Proyeksi bekerja dengan menghitung jumlah piksel tiap gambar untuk mengenai nilai gambar tersebut. Pengujian pengenalan karakater angka yang dilakukan terdapat 20 gambar uji menghasilkan nilai akurasi sebesar 65%.
Nowadays with the advancement of technology makes computers have higher computing capabilities to improve the capability of data processing. Advances in technology have also affected the ability of digital image technology related to the introduction of alphanumeric characters that are part of pattern recognition. Character recognition is important for information processing that allows rapid identification process automatically. In this research, numeric character recognition process using integral projection method. Reasons for using integral projection method for processing has the advantage of a simple and quick in identifying a digital image. The integral projection used is vertical projection and horizontal projection. The results showed numeric character recognition could recognize the characters correctly if the results of preprocessing produce good images. The introduction of the characters will be less than perfect if the images are processed is not good, this is because the integral projection method works by counting the number of pixels for each image to the value of the image. Testing the result of recognition from 20 image which is on dataset has been built to get accuracy value about 65%.
References
Amaliah, B., Yuniarti, A., Nugroho, A. S., & Arifin, A. Z. (2011, 121-128). Pemisahan gigi pada Dental Panoramic Radiograph dengan menggunakan Integral Projection yang dimodifikasi. Jurnal Ilmiah KURSOR, 6(2).
Astuti, S. (2010). Binerisasi Otomatis Pada Citra Bergradasi Dengan Metode Variabel Dan Metode Iterasi. Techno.Com, 9(3), 53-65.
Devi, P. A., Suciati, N., & Khotimah, W. N. (2016). Apakah kombinasi power lbp dan fourier descriptor dapat digunakan untuk klasifikasi citra kerang? TEKNOLOGI, 6(2), 68-79.
Hariyanto, A., Wibowo, A., & Noertjahyana, A. (2013). Sistem Manajemen Skripsi Program Manajemen Bisnis Berbasis Web Service dan PhoneGap. Jurnal Infra, 1(2), 114-118.
Hartanto, S., Sugiharto, A., & Endah, S. N. (2014). Optical character recognition menggunakan algoritma template matching correlation. Jurnal Masyarakat Informatika - J_MASIF, 5(9), 1-12.
Indraani, S. E., Jumaddina, I. D., & Sinaga, S. R. (2014). Implementasi Edge Detection Pada Citra Grayscale dengan Metode Operator Prewitt dan Operator Sobel., (pp. 1-4).
Indriyani, L., Susanto, W., & Riana, D. (2017). Teknik Pengolahan Citra Untuk Mengukur Diameter Buah Jeruk Keprok Menggunakan Aplikasi Matlab. Indonesian Journal on Computer and Information Technology (IJCIT), 2(1), 46-52.
Kurzweil, R. (1990). The Age of Intelligent Machines. Cambridge: MIT Press.
Mulyawan, H., Samsono, M. Z., & Setiawardhana. (2011). Identifikasi dan tracking objek berbasis image processing secara real time. Surabaya: Politeknik Elektronika Negeri Surabaya.
Setiawan, A., Wasista, S., & Basuki, D. K. (2011). Sistem pengenalan plat nomor mobil untuk aplikasi informasi karcis parkir. Surabaya: Politeknik Elektronika Negeri Surabaya.
Subiyantoro, E., & Putra, Y. P. (2011). Penentuan kualitas daun tembakau dengan perangkat mobile berdasarkan ekstrasi fitur rata-rata rgb menggunakan algoritma k-nearest neighbor. Seminar Nasional Teknologi Informasi, Komunikai dan Aplikasinya (SNATIKA). Malang: Aptikom dan STIKI Malang.
Downloads
Published
How to Cite
Issue
Section
License
Please find the rights and licenses in Register: Jurnal Ilmiah Teknologi Sistem Informasi. By submitting the article/manuscript of the article, the author(s) agree with this policy. No specific document sign-off is required.
1. License
The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
2. Author(s)' Warranties
The author warrants that the article is original, written by stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s).
3. User/Public Rights
Register's spirit is to disseminate articles published are as free as possible. Under the Creative Commons license, Register permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and Register on distributing works in the journal and other media of publications. Unless otherwise stated, the authors are public entities as soon as their articles got published.
4. Rights of Authors
Authors retain all their rights to the published works, such as (but not limited to) the following rights;
Copyright and other proprietary rights relating to the article, such as patent rights,
The right to use the substance of the article in own future works, including lectures and books,
The right to reproduce the article for own purposes,
The right to self-archive the article (please read out deposit policy),
The right to enter into separate, additional contractual arrangements for the non-exclusive distribution of the article's published version (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal (Register: Jurnal Ilmiah Teknologi Sistem Informasi).
5. Co-Authorship
If the article was jointly prepared by more than one author, any authors submitting the manuscript warrants that he/she has been authorized by all co-authors to be agreed on this copyright and license notice (agreement) on their behalf, and agrees to inform his/her co-authors of the terms of this policy. Register will not be held liable for anything that may arise due to the author(s) internal dispute. Register will only communicate with the corresponding author.
6. Royalties
Being an open accessed journal and disseminating articles for free under the Creative Commons license term mentioned, author(s) aware that Register entitles the author(s) to no royalties or other fees.
7. Miscellaneous
Register will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed. Register's editors may modify the article to a style of punctuation, spelling, capitalization, referencing and usage that deems appropriate. The author acknowledges that the article may be published so that it will be publicly accessible and such access will be free of charge for the readers as mentioned in point 3.