AN EFFICIENT METHOD FOR DOCUMENT IMAGE GEOMETRIC LAYOUT ANALYSIS

CHUNG YUN KOO

Journal of Software Assessment and Valuation

Abbr : JSAV
2013, 9(1), pp.49-55
Publisher : Korea Software Assessment and Valuation Society
Research Area : Computer Science

CHUNG YUN KOO ¹

¹ 한국전자통신연구원

ABSTRACT

Document image analysis is necessary for optical character recognition (OCR) and also very useful for many other document image manipulations. In this paper, we propose a document image geometric layout analysis system which has less region segmentation and classification error than that of the commercial software and previous works. The proposed method segments the document image into small regions to the size of a character using fast connected components generation method, so that it prevents the different types of connected components from combining. We also propose new criterion for clustering the connected components and some new techniques to deal with noise and reduce computation time. Experiment shows classification error rate of text and picture regions is decreased.
KEYWORDS

Document Image Analysis , Connected Component Analysis , Optical Character Recognition(OCR)
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