Table Detection and Extraction from Image Document
Journal Title: International Journal of Computer & organization Trends(IJCOT) - Year 2013, Vol 3, Issue 7
Abstract
Tables make information easier to understand and perceive than regular text block. Now days, it becomes popular structure for information representation. Format of tables differs and change according to need of representation of information. Various format of table makes it difficult for OCR system to recognize and just segment as an Image block. We proposed a novel approach which can detect all type of table format from single column image document. Tables are categorized in three type based of their rows and column separator.Type1 table have line as row and column separator. Type2 table have horizontal line for separating rows and space for separating column. In Type3 tables only space are used as both row and columns separator. Tables are detected from image documents based on simple projection profile and hough line detection method. We have tested this approach with 1200 image documents which contains all type of table format and get 89% accurate result.
Authors and Affiliations
Tanushree Dhiran , Rakesh Sharma
Keywords
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