NDLI: Text line extraction for historical document images using steerable directional filters

Content Provider	IEEE Xplore Digital Library
Author	Alaql, O. Cheng Chang Lu
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Kent State Univ. Kent, Kent, OH, USA (Alaql, O.; Cheng Chang Lu)
Abstract	Vast amounts of valuable historical documents exist in libraries and in various National Archives that have not been exploited electronically. The analysis of historical documents presents specific difficulties with respect to other types of handwritten documents. Because of the low quality and the complexity of these documents, the document analysis remains an open research field. One of the major processes to analyze these documents is automatic text line extraction, which influences the accuracy of text recognition. The Center for Unified Biometrics and Sensors (CUBS) proposed one of the best-known approaches for text line extraction. In this paper, and starting with the concepts of CUBS approach, we propose an approach to extract text lines from the historical document images. The proposed approach is based on three local connectivity maps. One has the orientation angles of the text lines, and it is generated by using a dynamic steerable directional filter. This map is modified by using a mode filter to determine the paragraph map in the documents. Based on the values of the paragraph map, the adaptive local connectivity map (ALCM) is generated by using a static steerable directional filter to estimate the location of the text line. The proposed approach solves the problem of the ALCM binarization that the CUBS approach has, and gives the advantage of extracting the paragraphs in the document besides the text lines segmentation.
Starting Page	312
Ending Page	317
File Size	652221
Page Count	6
File Format	PDF
ISBN	9781479939022
e-ISBN	9781479939039
DOI	10.1109/ICALIP.2014.7009807
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical filters Image segmentation Level set Filtering algorithms Educational institutions local connectivity directions map (LCDM) Libraries paragraph map adaptive local connectivity map (ALCM) Kernel
Content Type	Text
Resource Type	Article

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