Segmentation of Hanacaraka Characters Using Double Projection Profile and Hough Transform

Liliana Liliana; Singgih Soephomo; Gregorius Budhi; Rudy Adipranata

Big Data Technologies and Applications. 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23–24, 2017, Proceedings

Research Article

Segmentation of Hanacaraka Characters Using Double Projection Profile and Hough Transform

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@INPROCEEDINGS{10.1007/978-3-319-98752-1_4,
    author={Liliana Liliana and Singgih Soephomo and Gregorius Budhi and Rudy Adipranata},
    title={Segmentation of Hanacaraka Characters Using Double Projection Profile and Hough Transform},
    proceedings={Big Data Technologies and Applications. 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23--24, 2017, Proceedings},
    proceedings_a={BDTA},
    year={2018},
    month={11},
    keywords={Segmentation Hanacaraka character Projection profile Hough transform Image processing},
    doi={10.1007/978-3-319-98752-1_4}
}

Liliana Liliana
Singgih Soephomo
Gregorius Budhi
Rudy Adipranata
Year: 2018
Segmentation of Hanacaraka Characters Using Double Projection Profile and Hough Transform
BDTA
Springer
DOI: 10.1007/978-3-319-98752-1_4

Liliana Liliana¹^,*, Singgih Soephomo¹, Gregorius Budhi¹^,*, Rudy Adipranata¹^,*

1: Petra Christian University

*Contact email: lilian@petra.ac.id, greg@petra.ac.id, rudya@petra.ac.id

Abstract

In doing segmentation of Hanacaraka character, Javanese ancient character, one of Indonesian’s ethnic ancient character in Java island, the difficulties that occur is the inconsistency of the space between lines, the size of the character and the thickness. Inconsistencies between row spacing and letter size are caused by the letters of the pair, the last vowel and consonant letters in one phoneme. While the thickness is inconsistent due to the writing style of the Hanacaraka itself.

Keywords: Segmentation Hanacaraka character Projection profile Hough transform Image processing

Published: 2018-11-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-98752-1_4