DETEKSI POSISI PLAT NOMOR KENDARAAN MENGGUNAKAN METODE TRANSFORMASI HOUGH DAN TRANSFORMASI HIT OR MISSDENGAN MATLAB
| Main Author: | Yuda Puspito, 1415031131 |
|---|---|
| Format: | Bachelors NonPeerReviewed Book Report |
| Terbitan: |
FAKULTAS TEKNIK
, 2018
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| Subjects: | |
| Online Access: |
http://digilib.unila.ac.id/54383/1/ABSTRACT.pdf http://digilib.unila.ac.id/54383/2/SKRIPSI%20FULL%20TEKS.pdf http://digilib.unila.ac.id/54383/3/SKRIPSI%20FULL%20TEKS%20TANPA%20BAB%20PEMBAHASAN.pdf http://digilib.unila.ac.id/54383/ |
Daftar Isi:
- The rapid technological development at this time can be used to help the introduction of vehicle license plates with computer software. This research, was developed a detection system of vehicle license plates that displayed at the GUI Matlab. The detection process was preceded by taking data using a smartphone camera as many as 50 data samples.The process of detecting the number plate position of the vehicle uses two methods, namely the transformation method of hough and the transformation of hit or miss. The hough transformation method is an image processing technique used to detect the presence of a straight line. The straight line detection sensitivity is given 3 threshold values, namely 0.75, 0.8 and 0.85. The hit or miss transformation method is an image processing technique that functions to recognize patterns. The pattern that is recognizable is a "B" character pattern. The image processing stages used include: binerization, gray level, edge detection, image cutting, filtering, and resizing. The effectiveness of this system is measured by calculating the value of the recall and the precision. Based on the results of the study it was found that the system successfully detected the number plate position of the vehicle with a detection rate of 76% for the threshold value of 0.75, 72% for the threshold value of 0.8 and 48% for the threshold value of 0.85. The results also showed an average recall value of 54% for the threshold value of 0.75, 50% for the threshold value of 0.8 and 40% for the threshold value of 0.85, while the average value of precision was 14% for the threshold value of 0. , 75, 14% for the threshold value of 0.85, while the average value of precision was 14% for the threshold value of 0.75, 14% for the threshold value of 0.8 and 12% for the threshold value of 0.85. Key Words : GUI Matlab, Trasnformasi Hough, Transformasi Hit Or Miss,Recall, Precission Perkembangan teknologi yang pesat saat ini dapat digunakan untuk membantu pengenalan plat nomor kendaraan berbantuan perangkat lunakkomputer. Penelitian ini, dikembangkan sebuah sistem pendeteksi posisi plat nomor kendaraan yang ditampilkan pada GUI Matlab. Proses pendeteksian didahului dengan pengambilan data menggunakan kamera smartphone sebanyak 50 sampel data.Proses pendeteksian posisi plat nomor kendaraan menggunakan dua metode, yaitu metode transformasi houghdan transformasi hit or miss. Metode transformasi hough merupakan teknik pengolahan citra yang digunakan untuk mendeteksi keberadaan garis lurus. Tingkat kesensitivan pendeteksian garis lurus diberikan 3 nilai threshold yaitu 0,75, 0,8 dan 0,85. Metode transformasi hit or miss merupakan teknik pengolahan citra yang berfungsi untuk mengenali pola. Pola yang dikenali adalah pola gambar berkarakter “B”. Tahap pengolahan citra yang digunakan meliputi: binerisasi, aras keabuan, deteksi tepi, pemotongan citra, filtering, dan resizing. Keefektifan sistem ini diukur dengan perhitungan terhadap nilai perolehan (recall) dan nilai ketepatan (precision). Berdasarkan hasil penelitian didapatkan bahwa sistem berhasil mendeteksi posisi plat nomor kendaraan dengan tingkat keberhasilan pendeteksian sebesar 76% untuk nilai threshold 0,75, 72% untuk nilai threshold 0,8 dan 48% untuk nilai threshold 0,85. Hasil penelitian juga menunjukkan nilai rata-rata recall sebesar 54% untuk nilai threshold 0,75, 50% untuk nilai threshold 0,8 dan 40% untuk nilai threshold 0,85, sedangkan nilai rata-rata precision sebesar 14% untuk nilai threshold 0,75, 14% untuk nilai threshold 0,8 dan 12% untuk nilai threshold 0,85. Kata kunci : GUI Matlab, Trasnformasi Hough, Transformasi Hit Or Miss,Recall, Precission