Metode Otsu dan Mathematical Morphology Dalam Segmentasi Region Karakter Plat Nomor Kendaraan

  • Yovi Apridiansyah Universitas Muhammadiyah Bengkulu https://orcid.org/0000-0001-9757-6302
  • Rozali Toyib Universitas Muhammadiyah Bengkulu
  • Ardi Wijaya Universitas Muhammadiyah Bengkulu
Keywords: segmentasi karakter, pre-processing, metode otsu, mathematical morphology

Abstract

The problem that affects the character segmentation step is the step before character segmentation, namely preprocessing character segmentation or called preprocessing. This poses are strongly influenced by plate lighting conditions, shadows against plates, plate image impurities, plate image resolution, character cutting accuracy, and speed in recognizing characters. In general, identification consists of 3 stages, namely detection, segmentation and recognition. In this study, the use of the otsu method is expected to detect the region on the vehicle license plate, the region in question is the first region to show the regional code, the second region for the registration number and the third region for the sub-region code. In the process, the results of the vehicle number plate detection trial to get a segmentation of 3 regions of the vehicle number plate character did not get the expected results. The results  trial obtained the identification of the entire character of the vehicle number plate so that the characters on the vehicle number plate could not be distinguished between the front letter, number, and the back letter. So to maximize the desired results so that getting 3 regions of the otsu method segmentation process needs to be improved using the mathematical morphology method. This mathematical morphology method serves to read the character value of each pixel in the digital image which produces a comparison between the pixels in the image, so morphology techniques are appropriate when used to perform image processing in obtaining the region of the vehicle number plate. From the improvement of the otsu method, the results of the trial were improved. Of the 100 data samples tested, 96 data samples passed and 4 sample data failed, the accuracy value using MSE measurements from the tested data samples received a very high increase, which was 96%.

Downloads

Download data is not yet available.

References

A. Budianto, T. B. Adji, and R. Hartanto, “Deteksi Nomor Kendaraan Dengan Metode Connected Component Dan Svm,” J. Teknol. Inf. Magister Darmajaya, vol. 1, no. 01, pp. 106–117, 2015.

A. Michael, “Pengenalan Plat Kendaraan Berbasis Android menggunakan Viola Jones dan Kohonen Neural Network,” Ilk. J. Ilm., vol. 8, no. 2, pp. 95–102, 2016, doi: 10.33096/ilkom.v8i2.52.95-102.

E. Tirtana, K. Gunadi, and I. Sugiarto, “Penerapan Metode YOLO dan Tesseract-OCR untuk Pendataan Plat Nomor Kendaraan Bermotor Umum di Indonesia Menggunakan Raspberry Pi,” 2021.

S. I. Syafi’i, R. T. Wahyuningrum, and A. Muntasa, “Segmentasi Obyek Pada Citra Digital Menggunakan Metode Otsu Thresholding,” J. Inform., vol. 13, no. 1, pp. 1–8, 2016, doi: 10.9744/informatika.13.1.1-8.

D. R. Anamisa, “Rancang Bangun Metode OTSU Untuk Deteksi Hemoglobin,” S@Cies, vol. 5, no. 2, pp. 106–110, 2015, doi: 10.31598/sacies.v5i2.64.

J. Salat and S. Achmady, “Minimalisasi Distorsi Dari Segmentasi Citra Metode Otsu Menggunakan Fuzzy Clustering,” Ilk. J. Ilm., vol. 10, no. 1, pp. 80–85, 2018, doi: 10.33096/ilkom.v10i1.234.80-85.

N. Nafi’iyah, “Perbandingan Modus , Median , K _ Standar Deviasi , Iterative , Mean Dan Otsu Dalam Thresholding,” vol. 8, no. 2, pp. 31–36, 2016.

R. Wahyusari, “Pemanfaatan Mathematical Morphology Untuk Deteksi Tepi Batik,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 8, no. 1, pp. 389–392, 2017, doi: 10.24176/simet.v8i1.1027.

M. A. Masril and R. Noviardi, “Analisa Morfologi Dilasi untuk Perbaikan Kualitas Citra Deteksi Tepi pada Pola Batik Menggunakan Operator Prewitt dan Laplacian of Gaussian,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 4, no. 6, pp. 9–11, 2020, doi: 10.29207/resti.v4i6.2601.

A. Susanto, “Penerapan Operasi Morfologi Matematika Citra Digital Untuk Ekstraksi Area Plat Nomor Kendaraan Bermotor,” Pseudocode, vol. 6, no. 1, pp. 49–57, 2019, doi: 10.33369/pseudocode.6.1.49-57.

M. R. Kumaseh, L. Latumakulita, and N. Nainggolan, “Segmentasi Citra Digital Ikan Menggunakan Metode Thresholding,” J. Ilm. Sains, vol. 13, no. 1, p. 74, 2013, doi: 10.35799/jis.13.1.2013.2057.

A. S. Soegoto, L. Mananeke, and P. C. Kembuan, “Analisis Segmentasi, Targeting Dan Positioning Pembiayaan Mobil Pada Pt. Adira Dinamika Multifinance Tbk Cabang Manado,” J. Ris. Ekon. Manajemen, Bisnis dan Akunt., vol. 2, no. 3, 2014, doi: 10.35794/emba.v2i3.5723.

R. Christianto, W. Nofiani, A. Febriansyah, and I. Irwan, “Pan-Tilt Camera Sebagai Aktuator Pelacak Posisi Bola,” Matrix J. Manaj. Teknol. dan Inform., vol. 8, no. 3, pp. 79–82, 2018, doi: 10.31940/matrix.v8i3.1037.

L. Lisdin, “Analisis Potensi Kota Baubau sebagai Kawasan Megapolitan,” 2013, [Online]. Available: http://repositori.uin-alauddin.ac.id/10147/.

Marhadi S. K., “Hakikat Geografi,” J. Univ. Terbuka, vol. 4, pp. 1–50, 2004.

M. Karakt, E. R. Bangsa, P. D. F. Pack, P. Karakt, P. Karakt, and P. Ahamad, “PENDIDIKAN KARAKTER Imam Gunawan Imam Gunawan,” J. Pendidik., vol. 2, p. 3333, 2018.

H. Sembiring, “Analisis pengaruh karakteristik perusahaan terhadap kelengkapan pengungkapan dalam laporan tahunan perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia,” J. Mediasi, vol. 4, no. 1, pp. 68–77, 2012, [Online]. Available: http://digilib.unimed.ac.id/406/1/Fulltext.pdf.

O. Mellolo, “Pengenalan Plat Nomor Polisi Kendaraan Bermotor,” J. Ilm. Sains, vol. 12, no. 1, p. 35, 2012, doi: 10.35799/jis.12.1.2012.399.

S. W. Masdiyasa IGS, Sulianto B, “Identifikasi plat nomor kendaraan bermotor menggunakan Metode multi-step image processing berbasis android,” e - Nar., vol. 5, no. 1, pp. 17–25, 2019, [Online]. Available: https://jurnal.narotama.ac.id/index.php/narodroid/issue/view/83.

T. Tri Pamungkas, R. Rizal Isnanto, and A. Ajulian Zahra, “Pengenalan Plat Nomor Kendaraan Menggunakan Metode Template Matching Dan Jarak Canberra,” Transient, vol. 3, no. 2, pp. 166–173, 2014.

Published
2022-06-04
How to Cite
[1]
Yovi Apridiansyah, Rozali Toyib, and Ardi Wijaya, “Metode Otsu dan Mathematical Morphology Dalam Segmentasi Region Karakter Plat Nomor Kendaraan”, J. Appl. Comput. Sci. Technol., vol. 3, no. 1, pp. 134 - 143, Jun. 2022.
Section
Articles
Bookmark and Share