Optical Character Recognation Menggunakan Partisi Citra

  • Ardi Sanjaya
Abstract views: 69 , PDF (Bahasa Indonesia) downloads: 90

Abstract

AbstrakPenelitian ini mencoba memberikanalternatif baru untuk proses pengenalankarakter pada data citra. Proses yangdigunakan yaitu memisahkan paragraf denganteknik cropping. Kemudian memisahkan barispada paragraf dengan cara membaca areakosong secara vertikal. Dilanjutkan denganmemisahkan karakter pada masing-masingbaris dengan cara membaca area ksosongsecara horizontal. Setelah karakter berhasildipisah, masing-masing karakter dipartisimenjadi 64 bagian dan kemudian diambil nilailuas piksel tiap-tiap partisinya dan disimpansebagai data training. Untuk tahap pengenalankarakter, menggunakan pencocokan datatesting terhadap data training dan dicari selisihjarak terpendek dengan euclidean distance.Font yang digunakan sebagai data tarainingdan testing yaitu arial, calibri dan times newromans ukuran 8pt, 10pt, 12pt dan 14pt.Didapati hasil bahwa font times new romansmemiliki akurasi rendah 23,44% pada ukuran10pt dan akurasi tertinggi pada font arialukuran 14pt.Kata Kunci—OCR, Optical CharacterRecognation, Segemntasi Citra.

PlumX Metrics

Published
2015-03-24
How to Cite
Sanjaya, A. (2015). Optical Character Recognation Menggunakan Partisi Citra. Nusantara of Engineering (NOE), 2(1). Retrieved from https://ojs.unpkediri.ac.id/index.php/noe/article/view/91
Issue
Vol. 2 No. 1 (2015)
Section
Artikel

Authors who publish with this journal agree to the following terms:

  1. Copyright on any article is retained by the author(s).
  2. The author grants the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
  3. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  4. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
  5. The article and any associated published material is distributed under the Creative Commons Attribution-ShareAlike 4.0 International License