NDLI: A highly effective approach for document page layout extraction system

Content Provider	IEEE Xplore Digital Library
Author	Tangwongsan, S. Boondireke, C.
Copyright Year	2013
Description	Author affiliation: Fac. of Inf. & Commun. Technol., Mahidol Univ., Bangkok, Thailand (Tangwongsan, S.; Boondireke, C.)
Abstract	In this paper, we propose a highly effective scheme for document page layout extraction system as a part of character recognition processes. There are 3 stages in the working model, namely document segmentation, document layout classification and document reading order determination. In the first stage, a hybrid document segmentation decomposes a page of the document image into a variety of blocks by using the combination of diagonal white runs and vertical edges segmentation, together with modified histogram projection. Next, the features related to geometric layout in the page are extracted by using the feature analysis, combined with the technique of rule-based approach for classifying those block types and attributes. In the third stage, a highly efficient algorithm is introduced for block order sequencing search (BOSS) as to determine the right reading sequences of blocks in the page. The model is then tested on a large number of samples of those bilingual documents with Thai and English languages, and with different geometric patterns, multiple columns, rows, fonts and sizes. The results show quite a promising one with accuracy rate of 99.47%, and the speed of 2.887 seconds per page on the average in the experiment.
Starting Page	85
Ending Page	90
File Size	383357
Page Count	6
File Format	PDF
ISBN	9781479924455
e-ISBN	9781479924462
DOI	10.1109/ICCWAMTIP.2013.6716605
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Sequential analysis Image edge detection Layout Reading order determination Document segmentation Feature extraction Pattern recognition Character recognition Niobium Page layout classification
Content Type	Text
Resource Type	Article

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