Handwritten Image Segmentation Carakan Madura Based Projection And Connected Component Labeling


Segmentasi Citra Tulisan Tangan Carakan Madura Berbasis Proyeksi Dan Connected Component Labeling


  • (1) * Miftah Farid            Teknologi Informasi, Institut Sains dan Teknologi Terpadu Surabaya  
            Indonesia

  • (2)  Joan Santoso            Teknologi Informasi, Institut Sains dan Teknologi Terpadu Surabaya  
            Indonesia

  • (3)  Endang Setyati            Teknologi Informasi, Institut Sains dan Teknologi Terpadu Surabaya  
            Indonesia

    (*) Corresponding Author

Abstract

At the time the Carakan Madura is currently found on sign of street names in the Madura region. It is also found in the historical sites and museum. However, many people do not understand about Carakan Madura because it is rarely used in daily life. There are many ways to keep Carakan Madura sustainable and not extinct, including preservation and maintenance of historical objects and also from education. The maintenance of these historical objects is usually carried out in museums and places where historical objects, including the Sumenep palace museum and Asta Tinggi. In the Sumenep palace museum, documents with Carakan Madura are still stored. In the Asta tinggi there are also stone carvings with the words Carakan Madura. There are other important things in the preservation of Carakan Madura, namely that Carakan Madura is included in the local content education curriculum for Madura language so that students can learn about Carakan Madura properly and well so students are not only knowing, but also understanding. For this reason, tools are needed so that students can more understand the Carakan Madura. The purpose of this research is to segment of the Carakan Madura handwritten image based on projection and connected component labeling. The results of this research can be concluded that the segmentation process in Carakan Madura handwriting has been successfully carried out in the form of the composing characters of Carakan Madura.

References

Bastari and Yoesi Ika Fiandarti. 2009. Kosa Kata Bahasa Madura. Karya Simpati Mandiri.

Abdul Kadir and Adhi Susanto. 2013. Teori dan aplikasi Pengolahan Citra Digital, CV Andi Offset.

I made Dwi Putra Asana, I Made Oka Widyantara NMAED Wirastuti, Ida Bagur Putu Adnyana, “Metode Contrast Stretching untuk perbaikan Kualitas Citra pada Proses Segmentasi Video”. 2017. Teknik Elektro, Vol. 16, No 02. DOI: https://doi.org/10.24843/MITE.2017.v16i02p01

Salman Sulaeman and Purwanto. 2019 “Identifikasi Jumlah Bibit Bandeng menggunakan metode K-Means Berbasis HSV Color dan morfologi. Jurnal Teknologi Informasi, Volume 15 Nomor 2.

E.K. Vellingiraj. Dr. Balamurugan, M., Dr. Balasubbramanie, P. 2016 “Information Extraction and Text Mining of Ancient Vattezhutu Characters in Historical Documents Using Image Zoning”. IEEE, 978-1-5090-0922-0/16, International Conference on Asian Language Processing.

Thulasi Kishna N.P. and Seenia Francis, 2017. “Intelligent Tool For Malayalam Cursive Handwritten Character Recognition Using Artificial Neural Network And Hidden Markov Model”. IEEE Xplore Compliant-Part Number: CFP17L34-ART, ISBN: 978-1-5386-4031-9, Proceedings of the International Conference of the International Conference on Inventive Computing and Informatics (ICICI 2017), DOI: https://doi.org/10.1109/ICICI.2017.8365201

Namrata Dave. 2016. “Segementation Methodes for Hand Written Character Recognition”, International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 8, No 4. DOI: https://doi.org/10.14257/ijsip.2015.8.4.14

Handwritten Image Segmentation Carakan Madura Based Projection And Connected Component Labeling JOINCS
Picture in here are illustration from public domain image (License) or provided by the author, as part of their works
Published
2020-11-30
 
How to Cite
Miftah Farid, Joan Santoso, & Endang Setyati. (2020). Handwritten Image Segmentation Carakan Madura Based Projection And Connected Component Labeling. JOINCS (Journal of Informatics, Network, and Computer Science), 3(2), 33-37. https://doi.org/10.21070/joincs.v3i0.823
Section
Articles