Conference paper
A combined method of segmentation for connected handwritten on palm leaf manuscripts
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.4158-4161
2014 IEEE International Conference on Systems, Man and Cybernetics (SMC) (San Diego, CA, 05/10/2014–08/10/2014)
2014
Abstract
Character segmentation of handwriting of ancient manuscript is a crucial step in Optical Character Recognition (OCR) system. The segmentation of connected components is one of the factors that affects the performance of the recognition system. In order to improve the efficiency of OCR systems, segmentation of touching characters is a significant task. This paper proposes a combined method for the handling of connected handwritten segmentation of Thai-Noi script on palm leaf manuscripts. This combined process of handwritten segmentation estimates points of connected positions from two methods: (1) points of foreground detection: foreground skeleton is established first, the path and junction are then detected using Hough transform and histogram of projection profile; and (2) points of background detection: background skeleton is extracted, the top and bottom paths are then detected by using Hough transform. The proposed method has been implemented and experimental results show that the combined method obtained better segmentation of handwritten documents on palm leaves.
Details
- Title
- A combined method of segmentation for connected handwritten on palm leaf manuscripts
- Authors/Creators
- R. Chamchong (Author/Creator)C.C. Fung (Author/Creator)
- Publication Details
- 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.4158-4161
- Conference
- 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC) (San Diego, CA, 05/10/2014–08/10/2014)
- Identifiers
- 991005541646007891
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Conference paper
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