creators_name: TRI LESTARI, 1417051143
creators_id: trilestari1810@gmail.com
type: other
datestamp: 2018-08-04 03:44:47
lastmod: 2018-08-04 03:44:47
metadata_visibility: show
title: PENGENALAN KARAKTER TULISAN TANGAN AKSARA LAMPUNG
MENGGUNAKAN EKSTRAKSI FITUR CHAIN CODE 8 DIRECTION
DAN PROJECTION PROFILE
ispublished: pub
subjects: Q
subjects: QA76
full_text_status: restricted
abstract: perkembangan zaman, pengetahuan akan Aksara
Lampung semakin tergerus. Salah satu upaya untuk melestarikan aksara tersebut adalah
dengan melakukan penelitian tentang pengenalan karakter Aksara Lampung. Penelitian
ini merupakan lanjutan dari penelitian sebelumnya tentang pengenalan karakter tulisan
tangan Aksara Lampung. Pengembangan dilakukan dari segi penggunaan fitur untuk
pengenalan karakter aksara. Fitur-fitur yang digunakan adalah chain code 8 direction,
projection profile dan gabungan keduanya. Jumlah karakter pada dataset secara
keseluruhan sebanyak 32140 file dengan format grayscale image. Dataset tersebut
terbagi menjadi tiga kelompok data yaitu training, validation, dan testing. Sebagai alat
klasifikasi digunakan LibSVM (Library Support Vector Machine). Akurasi yang diperoleh pada penggunaan fitur chain code 8 direction sebesar 90,08%, sedangkan
penggunaan fitur projection profile menghasilkan akurasi sebesar 79,28%.
Penggabungan kedua fitur memberikan hasil akurasi tertinggi dengan peningkatan 4%
dari penggunaan fitur chain code 8 direction menjadi 94,00%.
Kata kunci : aksara Lampung, chain code 8 direction, fitur, pengenalan karakter
tulisan tangan, projection profile.

RECOGNITION OF HANDWRITTEN CHARACTER LAMPUNG SCRIPT
BY USING CHAIN CODE 8 DIRECTION AND PROJECTION PROFILE
FEATURE EXTRACTION

Lampung script is one of the cultural heritages in the form of writing character
owned by Lampung society. The basic character consists of 20 characters with various
shapes. As the times progressed, the knowledge of the Lampung script increasingly
faded out. One of the efforts to preserve the script is by conducting research on the
recognition of Lampung script characters. This research is a continuation of previous
research on the recognition of handwritten characters of Lampung script. This research
is evolved from the previous research in terms of the use of features for character
recognition. The features used are chain code 8 direction, projection profile and the
combination of both. The number of characters in the dataset is 32140 files with
grayscale image format. The dataset is divided into three groups of data that are
training, validation, and testing. As classification tool, this research used LibSVM
(Library Support Vector Machine). The accuracy obtained on the use of chain code 8 direction feature reached 90.08%, while the use of projection profile feature reached
the accuracy of 79.28%. Merging the two features results the highest accuracy with 4%
increasing number from the use of chain code 8 direction feature becoming 94.00%.
Keywords: chain code 8 direction, feature, handwriten character recognition,
Lampung script, projection profile.
date: 2018-07-27
date_type: published
publisher: FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM
place_of_pub: UNIVERSITAS LAMPUNG
citation:   TRI LESTARI, 1417051143  (2018) PENGENALAN KARAKTER TULISAN TANGAN AKSARA LAMPUNG MENGGUNAKAN EKSTRAKSI FITUR CHAIN CODE 8 DIRECTION DAN PROJECTION PROFILE.  FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM, UNIVERSITAS LAMPUNG.     
document_url: http://digilib.unila.ac.id/32592/1/ABSTRAK.pdf
document_url: http://digilib.unila.ac.id/32592/2/SKRIPSI%20FULL.pdf
document_url: http://digilib.unila.ac.id/32592/3/SKRIPSI%20TANPA%20BAB%20PEMBAHASAN.pdf