Publication Type : Journal Article
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : IJCA
Source : International Journal for Computer Applications(IJCA)
Url : https://www.researchgate.net/publication/269670645_Combined_Method_of_Level_set_with_impact_on_Pre-processing_for_binarization_of_document_images_in_Tamil_Script
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Center for Computational Engineering and Networking (CEN)
Verified : Yes
Year : 2012
Abstract : and Segmentation are considered to be the vital tasks in Optical Character Recognition (OCR) for document digitization. This paper discusses the applications of powerful Level set methodologies on these important tasks associated with OCR. Results acquired for these essential procedures in turn govern the accuracy of the OCR system. Conventionally Otsu method and Histogram profiling methods were used for binarization and segmentation purpose (1). In this paper, we try to replace these different methods by a single procedure based on Level Set methodology, where segmentation and binarization for any document could be efficiently done in a single step. The main advantage of this method is that it does not require separate paragraph segmentation, line segmentation and character segmentation. We have also compared the working and performance of two algorithms based on Active Contour or Level Set Model: Selective Binary and Gaussian Filtering Regularized Level Set (SBGFRLS) by Zhang (2) and Split Bresson"s Chan Vese Level Set methods by Bresson (3) in the case of real data and test data embedded with noise taken from Tamil script.
Cite this Research Publication : A. Ashok, Soman, K. P., S, J., and S, D., “Combined Method Of Level Set with Impact On Pre-processing For Binarization Of Document Images In Tamil Script”, International Journal of Computer Applications(IJCA), 2012.