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Finding region of interest and automatic cropping from Palm leaf manuscripts by using one-dimensional segmentation

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dc.contributor.author Soe, Nwe Nwe
dc.contributor.author Htay, Win
dc.date.accessioned 2019-07-03T06:39:08Z
dc.date.available 2019-07-03T06:39:08Z
dc.date.issued 2016-02-25
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/236
dc.description.abstract This paper offers finding the region of interest and automatic cropping from palm leaf manuscripts developed by using one-dimensional segmentation. This system can be used to provide for enhancing palm leaf manuscripts are taken by high quality resolution digital camera. The one-dimensional segmentation approach is that object location can be determined by clustering points of interest and hierarchically forming candidate of palm leaf manuscript regions according to similarity and spatial proximity predicates. This system can be used to optimize two factors: RGB background colors and number of vertical lines to choose candidate area. Moreover, one-dimensional edge segmentation performs better accuracy and less calculation time than other traditional filters. This system can be applied to segmentation of candidate area which includes text. The results of the research can be used as an input image to implement an OCR system to provide information of being existence for their related fields. en_US
dc.language.iso en en_US
dc.publisher Fourteenth International Conference On Computer Applications (ICCA 2016) en_US
dc.subject Palm leaf manuscripts en_US
dc.subject one-dimensional segmentation en_US
dc.subject Region of interest en_US
dc.subject automatic cropping en_US
dc.title Finding region of interest and automatic cropping from Palm leaf manuscripts by using one-dimensional segmentation en_US
dc.type Article en_US


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