Detection of Indonesian Sign Language Alphabet Features Using the Chain Code Method Deteksi

Main Article Content

Nur Afifah
Hendro Nugroho

Abstract

SIBI which stands for Sistem Isyarat Bahasa Indonesia refers to an Indonesian signal language system for deaf and mute people. This research concerns with detecting the feature extraction of SIBI letters. For this reason, the researcher conducted several phases such as pre-processing, edge detection, image extraction, and letter similarity [1]. In the segmentation process, manhattan distance method was carried out and then continued by converting RGB image to grayscale image and binary image. The next process namely mathematical morphology aimed at reducing the noise of image, whereas the method of chain code with eight directions of connectivity was employed as the extraction method of shape feature to determine the image probability. After that, the formation of eight connectivity of chain code in which edge was preciously detected by Robert operator generated probability value. Meanwhile, the euclidean distance method served as the equation of resulted probability value. By using 171 dataset consisting of 119 data reference and 52 data testing, the accuracy gained averagely 91%.

Downloads

Download data is not yet available.

Article Details

Section
Articles

References

Badan Pengembangan dan Pembinaan Bahasa, (2008). Kamus Besar Bahasa Indonesia.

Indra Dolly, S. Madenda, E. Wibowo (2017). Feature Extraction of Bisindo Alphabets Using Chain Code Contour. https://doi.org/10.21817/ijet/2017/v9i3/170904138

K. Anam and A. K.-S. 2014, “IMPLEMENTASI PENGENALAN BAHASA ISYARAT TANGAN SECARA REAL TIME MENGGUNAKAN METODE TWO DIMENSIONAL LINEAR DISCRIMINANT,” repository.unitomo.ac.id, Accessed: Nov. 06, 2022. [Online]. Available: http://repository.unitomo.ac.id/206/1/Senastik2014end-Trunojoyo.pdf#page=248.

“abdul kadir pengolahan citra digital - Google Scholar.” https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=abdul+kadir+pengolahan+citra+digital&btnG= (accessed Nov. 06, 2022)

S. Madhvanath, G. Kim and V. Govindaraju. (1999). Chain Code Contour Processing for Handwritten Word Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 9. https://doi.org/10.1109/34.790433