DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-5 ( May, 2016 ) | |||||||||
Paper Title |
Detection And Removal Of Hand-Drawn Annotation Lines In Scanned Image | |||||||||
Author Name |
Rovina, Seem A, Sunil Kumar | |||||||||
Affilition |
M.Tech. Student( Computer Engg), Assistant Professor (Computer Engg.) (Supervisor), Assistant Professor Yadavindra College of Engineering, Punjabi Univ. Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab,India | |||||||||
Pages |
1-4 | |||||||||
Abstract |
Performance of optical character recognition is badly affected due to of various unwanted variations in a document. When these documents are used in optical character recognition then it will create misrecognition. The work presented in this paper is to remove the hand-drawn underlines and annotation lines from document like circular annotation, strikethrough lines, straight underlines, touched and untouched underlines, broken underlines and other text surrounding lines. Based on this observation, an RGB image is converted into lab color space for global features then divided into different clusters so that annotated area should be extracted from the background. Novelty of this method lies in its ability to compute the annotation area whether it touches the word and also detect strikethrough lines. Inpainting is used for removing of lines and filled the lost parts. Index Terms- Hand-Drawn Annotation Lines, Inpainting, Optical Character Recognition, Text Surrounding Lines. | |||||||||
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