DocumentCode :
174488
Title :
A combined method of segmentation for connected handwritten on palm leaf manuscripts
Author :
Chamchong, Rapeeporn ; Chun Che Fung
Author_Institution :
Sch. of Eng. & Inf. Technol., Murdoch Univ., Perth, WA, Australia
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
4158
Lastpage :
4161
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.
Keywords :
Hough transforms; document image processing; feature extraction; handwritten character recognition; image segmentation; optical character recognition; Hough transform; OCR system; Thai-Noi script connected handwritten segmentation; ancient manuscript handwriting; background detection; character segmentation; foreground detection; handwritten document segmentation; optical character recognition system; palm leaf manuscripts; projection profile histogram; Accuracy; Character recognition; Handwriting recognition; Image segmentation; Junctions; Skeleton; Transforms; Character Segmentation; Connected Characters; Handwritten Segmentation; Historical Document Image Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6974592
Filename :
6974592
Link To Document :
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